Satellite images captured in a variety of modalities serve as the primary source for many applications. Satellite image processing extracts the image /spectral information represented in the form of pixels, classifies those pixels based on the similarity measures and further analyzes the inherent data, as per the requirements. The foremost objective of satellite processing is to automatically categorize the pixels in an image into the respective land cover class labels or themes. These pixels are classified by its spectral information and it is determined by the relative reflectance in various bands of wavelength. The accuracy and outcomes of any satellite image processing procedure, irrespective of the application domain, directly depends on its quality. Satellite images are invariably degraded by speckle noise. Hence, preprocessing the images for speckle noise suppression and/or cloud removal is deemed an inevitable component in satellite image processing. Researchers have proposed a spectrum of methods for speckle noise/cloud removal. A detailed review on the significant research publications on speckle noise removal are summarized in this article. The consolidation of methodology merits and demerits of the select research articles are presented in this paper. This review article on speckle noise removal is designed as a ready-reference for those researchers working in satellite image processing.
{"title":"An Exploratory Analysis of Speckle Noise Removal Methods for Satellite Images","authors":"Shanthasheela A, P. Shanmugavadivu","doi":"10.1145/3277453.3277484","DOIUrl":"https://doi.org/10.1145/3277453.3277484","url":null,"abstract":"Satellite images captured in a variety of modalities serve as the primary source for many applications. Satellite image processing extracts the image /spectral information represented in the form of pixels, classifies those pixels based on the similarity measures and further analyzes the inherent data, as per the requirements. The foremost objective of satellite processing is to automatically categorize the pixels in an image into the respective land cover class labels or themes. These pixels are classified by its spectral information and it is determined by the relative reflectance in various bands of wavelength. The accuracy and outcomes of any satellite image processing procedure, irrespective of the application domain, directly depends on its quality. Satellite images are invariably degraded by speckle noise. Hence, preprocessing the images for speckle noise suppression and/or cloud removal is deemed an inevitable component in satellite image processing. Researchers have proposed a spectrum of methods for speckle noise/cloud removal. A detailed review on the significant research publications on speckle noise removal are summarized in this article. The consolidation of methodology merits and demerits of the select research articles are presented in this paper. This review article on speckle noise removal is designed as a ready-reference for those researchers working in satellite image processing.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128278901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In cognitive unlimited power, single-user spectrum sensing due to environmental impact and hardware factors has been difficult to meet its quasi-conformity. To solve this problem, multi-user spectrum sensing technology has been proposed. However, most of the current literature only focuses on improving the detection performance of the system, and ignores the system energy consumed by processing data in the process of cooperative sensing. Therefore, this paper analyzes the energy consumption in spectrum sensing. In the case of combining noise uncertainty, the system energy is studied based on the K rank fusion rule in the hard fusion criterion. Through experimental simulation, the energy consumed by the system is reduced as the noise uncertainty is reduced.
{"title":"Energy Consumption Analysis of K Rank Fusion Detection Under Noise Uncertainty","authors":"Jiwu Qian, Yuebin Chen, Chutian Chen","doi":"10.1145/3277453.3277487","DOIUrl":"https://doi.org/10.1145/3277453.3277487","url":null,"abstract":"In cognitive unlimited power, single-user spectrum sensing due to environmental impact and hardware factors has been difficult to meet its quasi-conformity. To solve this problem, multi-user spectrum sensing technology has been proposed. However, most of the current literature only focuses on improving the detection performance of the system, and ignores the system energy consumed by processing data in the process of cooperative sensing. Therefore, this paper analyzes the energy consumption in spectrum sensing. In the case of combining noise uncertainty, the system energy is studied based on the K rank fusion rule in the hard fusion criterion. Through experimental simulation, the energy consumed by the system is reduced as the noise uncertainty is reduced.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126570752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective and accurate comprehensive evaluation on power quality is an important evidence for power pricing and power quality assessment. Considering the shortcomings existing in the current methods, a fuzzy comprehensive evaluation model of power quality based on normal cloud model is proposed. The normal cloud model is introduced to improve the membership function, and the normal cloud models on grade demarcation of power quality are established so that the fuzzy relation matrix is obtained. Entropy weight method is used to determine the weight of the evaluation indicators. In order to get the comprehensive evaluation grade of power quality, the unsymmetrical proximity criterion is used to analyze the fuzzy comprehensive vector which calculated by weight matrix and the fuzzy relation matrix. Finally, the accuracy and effectiveness of the proposed method are verified by a practical example.
{"title":"A Fuzzy Comprehensive Evaluation Model of Power Quality Based on Normal Cloud Model","authors":"C. Lv, Lijun Tian, Zhiguo Wang","doi":"10.1145/3277453.3277459","DOIUrl":"https://doi.org/10.1145/3277453.3277459","url":null,"abstract":"Objective and accurate comprehensive evaluation on power quality is an important evidence for power pricing and power quality assessment. Considering the shortcomings existing in the current methods, a fuzzy comprehensive evaluation model of power quality based on normal cloud model is proposed. The normal cloud model is introduced to improve the membership function, and the normal cloud models on grade demarcation of power quality are established so that the fuzzy relation matrix is obtained. Entropy weight method is used to determine the weight of the evaluation indicators. In order to get the comprehensive evaluation grade of power quality, the unsymmetrical proximity criterion is used to analyze the fuzzy comprehensive vector which calculated by weight matrix and the fuzzy relation matrix. Finally, the accuracy and effectiveness of the proposed method are verified by a practical example.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133042775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The power load of the high-voltage electrical equipment in the smart grid, such as transformers, switchgear and loop cabinet, has increased dramatically. As the connection point between equipment and equipment is the weakest link in power transmission, and the essence problem of this weak link is the heat at the junction point. As the load increases, the joints heat up and form a vicious cycle: temperature rise, expansion, contraction, oxidation, increasing resistance, heating up again until the accident occurs. In this paper, the on-line temperature monitoring system based on RFID is designed. Through sensing technology, digital recognition technology, wireless communication technology, low power technology, anti-interference technology and automatic control technology, the real-time on-line monitoring of the temperature of the equipment is realized. The problem of SAW temperature measurement and the same frequency misreading and the interference of SAW temperature measurement are completely solved as well as the problem of changing and mistakenly warning. The utility model can be widely applied to temperature monitoring of various high and low voltage switchgear, box type changing and ring network cabinets, and can be installed on new equipment, or can be retrofit on old equipment.
{"title":"A RFID-Based Temperature Measurement System for Smart Substation","authors":"Yiying Zhang, Fei Liu, Haoyuan Pang, Xiangzhen Li, Zhu Liu, Yeshen He","doi":"10.1145/3277453.3277476","DOIUrl":"https://doi.org/10.1145/3277453.3277476","url":null,"abstract":"The power load of the high-voltage electrical equipment in the smart grid, such as transformers, switchgear and loop cabinet, has increased dramatically. As the connection point between equipment and equipment is the weakest link in power transmission, and the essence problem of this weak link is the heat at the junction point. As the load increases, the joints heat up and form a vicious cycle: temperature rise, expansion, contraction, oxidation, increasing resistance, heating up again until the accident occurs. In this paper, the on-line temperature monitoring system based on RFID is designed. Through sensing technology, digital recognition technology, wireless communication technology, low power technology, anti-interference technology and automatic control technology, the real-time on-line monitoring of the temperature of the equipment is realized. The problem of SAW temperature measurement and the same frequency misreading and the interference of SAW temperature measurement are completely solved as well as the problem of changing and mistakenly warning. The utility model can be widely applied to temperature monitoring of various high and low voltage switchgear, box type changing and ring network cabinets, and can be installed on new equipment, or can be retrofit on old equipment.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134235212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thinned arrays have advantages of achieving low side lobe with fewer array elements than the full array. The far-field plane wave assumption commonly used in arrays is no longer valid in the situation of radar imaging. With considering the near-field spherical wave effect, this paper utilizes the genetic algorithm to thin the arrays. Radar images of objects are then obtained with the thinned array. Firstly, the pattern formation of antenna array in the near field is discussed. Secondly, we use the genetic algorithm to optimize the selected elements from a full array to achieve a thinned array under the circumstance of the near field. Lastly, radar imaging with the thinned array is compared with the situation of full array. Simulation and RADBASE data processing showed that our proposal has good performance.
{"title":"Near-Field Antenna Pattern Optimization with Thinned Array Based on Genetic Algorithm","authors":"Tao Chen, Guanghu Jin, Z. Dong","doi":"10.1145/3277453.3277479","DOIUrl":"https://doi.org/10.1145/3277453.3277479","url":null,"abstract":"Thinned arrays have advantages of achieving low side lobe with fewer array elements than the full array. The far-field plane wave assumption commonly used in arrays is no longer valid in the situation of radar imaging. With considering the near-field spherical wave effect, this paper utilizes the genetic algorithm to thin the arrays. Radar images of objects are then obtained with the thinned array. Firstly, the pattern formation of antenna array in the near field is discussed. Secondly, we use the genetic algorithm to optimize the selected elements from a full array to achieve a thinned array under the circumstance of the near field. Lastly, radar imaging with the thinned array is compared with the situation of full array. Simulation and RADBASE data processing showed that our proposal has good performance.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129949251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wen Wang, Zenglai Gao, Lei Geng, Fang Zhang, Zhitao Xiao
In order to solve the problems of different types of digital-display temperature and humidity instrument segmentation such as imprecision, light influence and low generality, this paper proposes a method based on contour features and structural rules. Firstly, use the Canny edge detection method to extract the display screen, and utilize straight-line correction algorithm to do the screen correction. Then, characters are coarsely segmented based on the contour features and the different gray values between characters and background. Finally, accurate segmentation is done according to vertical projection and character structure rules. In this paper, the character segmentation is carried out with different types of digital-display temperature and humidity instruments. The experimental results show that the method can accurately segment the effective characters on different types of instruments.
{"title":"Character Segmentation of Digital-Display Temperature and Humidity Instrument Based on Contour Features and Structural Rules","authors":"Wen Wang, Zenglai Gao, Lei Geng, Fang Zhang, Zhitao Xiao","doi":"10.1145/3277453.3277486","DOIUrl":"https://doi.org/10.1145/3277453.3277486","url":null,"abstract":"In order to solve the problems of different types of digital-display temperature and humidity instrument segmentation such as imprecision, light influence and low generality, this paper proposes a method based on contour features and structural rules. Firstly, use the Canny edge detection method to extract the display screen, and utilize straight-line correction algorithm to do the screen correction. Then, characters are coarsely segmented based on the contour features and the different gray values between characters and background. Finally, accurate segmentation is done according to vertical projection and character structure rules. In this paper, the character segmentation is carried out with different types of digital-display temperature and humidity instruments. The experimental results show that the method can accurately segment the effective characters on different types of instruments.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131083678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thermocline is of great significance to marine scientific research. Multi-autonomous underwater vehicles (AUV) have great advantages over single autonomous underwater vehicle in ocean observation. This paper describes a control method for multi-agent formation. Based on this method, a strategy of multi-AUV formation for thermocline tracking is proposed. This paper firstly analyzes the stability of the formation control method based on the virtual body and artificial potential method (VBAP), and verifies the feasibility of this control method on the target-tracking problem by tracking a curved surface in space. Where after, in this paper, a thermocline tracking strategy based on vertical temperature gradient is proposed. Then the simulation experiment is designed based on the above control method and temperature data. The experimental results express that the multi-AUV formation can always keep working between the upper and lower boundary of thermocline, and tracks the thermocline effectively.
{"title":"Research on Thermocline Tracking Based on Multiple Autonomous Underwater Vehicles","authors":"Zhen Li, Yiping Li","doi":"10.1145/3277453.3277489","DOIUrl":"https://doi.org/10.1145/3277453.3277489","url":null,"abstract":"Thermocline is of great significance to marine scientific research. Multi-autonomous underwater vehicles (AUV) have great advantages over single autonomous underwater vehicle in ocean observation. This paper describes a control method for multi-agent formation. Based on this method, a strategy of multi-AUV formation for thermocline tracking is proposed. This paper firstly analyzes the stability of the formation control method based on the virtual body and artificial potential method (VBAP), and verifies the feasibility of this control method on the target-tracking problem by tracking a curved surface in space. Where after, in this paper, a thermocline tracking strategy based on vertical temperature gradient is proposed. Then the simulation experiment is designed based on the above control method and temperature data. The experimental results express that the multi-AUV formation can always keep working between the upper and lower boundary of thermocline, and tracks the thermocline effectively.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128539375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the most challenging issues in Speaker's Gender Classification (SGC) is feature extraction. Since, it degrades the classification accuracy due to information loss during features extraction using speech signals. In previous researches, Perceptual Linear Prediction (PLP) coefficients were extracted by using Blackman windowing method along with the other features of speech signal to improve the classification accuracy. However, still some information was lost at those window edges which degrade the recognition accuracy and also more efficient features were required to improve the classification performance. Hence in this paper, SGC is improved by extracting the PLP coefficients based on novel windowing technique. In this technique, initially type-1 features such as spectral and prosodic features of speech signal are extracted. In addition, Information Preserving Perceptual Linear Prediction (IPPLP) coefficients are also extracted using Slepian windowing method. Moreover, the frequency-dependent transmission characteristics of the outer ear are compensated based on the analysis of time-varying Equal Loudness Contour (ELC) curves and Peak-to-Loudness Ratio (PLR). After that, the extracted IPPLP features are fused with type-1 features and classified by using different combinations of classifiers like Gaussian Mixture Model (GMM), Support Vector Machine (SVM) and GMM supervectors-based SVM at score level fusion scheme. According to the final classification result, the type of speaker's gender is recognized. Finally, the experimental results show the significant improvements on classification accuracy by using proposed classification technique. With the proposed speaker's gender classification technique, the classification accuracy values are obtained 38.55%, 62.65% and 69.88% in GMM, SVM and GMM-SVM classification, respectively.
{"title":"An Advance on Gender Classification by Information Preserving Features","authors":"K. Kuppusamy, C. Eswaran","doi":"10.1145/3277453.3277462","DOIUrl":"https://doi.org/10.1145/3277453.3277462","url":null,"abstract":"One of the most challenging issues in Speaker's Gender Classification (SGC) is feature extraction. Since, it degrades the classification accuracy due to information loss during features extraction using speech signals. In previous researches, Perceptual Linear Prediction (PLP) coefficients were extracted by using Blackman windowing method along with the other features of speech signal to improve the classification accuracy. However, still some information was lost at those window edges which degrade the recognition accuracy and also more efficient features were required to improve the classification performance. Hence in this paper, SGC is improved by extracting the PLP coefficients based on novel windowing technique. In this technique, initially type-1 features such as spectral and prosodic features of speech signal are extracted. In addition, Information Preserving Perceptual Linear Prediction (IPPLP) coefficients are also extracted using Slepian windowing method. Moreover, the frequency-dependent transmission characteristics of the outer ear are compensated based on the analysis of time-varying Equal Loudness Contour (ELC) curves and Peak-to-Loudness Ratio (PLR). After that, the extracted IPPLP features are fused with type-1 features and classified by using different combinations of classifiers like Gaussian Mixture Model (GMM), Support Vector Machine (SVM) and GMM supervectors-based SVM at score level fusion scheme. According to the final classification result, the type of speaker's gender is recognized. Finally, the experimental results show the significant improvements on classification accuracy by using proposed classification technique. With the proposed speaker's gender classification technique, the classification accuracy values are obtained 38.55%, 62.65% and 69.88% in GMM, SVM and GMM-SVM classification, respectively.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125420265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years the variances of speech features of speaker verification system were measured by computing covariance matrix parameterized through its eigenvalues and vectors by keeping fixed sliding window size. The computed eigenvectors were weighted with its corresponding magnitude and normalized. Then, the features were extracted and fused using different fusion techniques for recognizing the speaker. However, this approach was not suitable for all types of datasets and some significant feature information may be lost during extraction based on fixed window size. Hence in this article, the variable size sliding window is applied for Speaker Verification system. Initially, the speech signal is considered as input and the FMPM features are extracted using FDLP, MHEC and PNCC including MFCC based on the variable size of a sliding window. Here, the sliding window size is optimized by Modified Grey Wolf Optimization (MGWO) algorithm which is also used for selecting the classifier parameters and most optimal features adaptively. The most optimal features are selected from the extracted FMPM and classified by using GMM classification. Thus, the proposed approach allows continuous adaptation of SV using variable window size and classifier parameters. Finally, the considerable improvements in Speaker Verification are observed through experimental results.
{"title":"Optimized Variable Size Windowing Based Speaker Verification","authors":"Sujiya Sreedharan, C. Eswaran","doi":"10.1145/3277453.3277461","DOIUrl":"https://doi.org/10.1145/3277453.3277461","url":null,"abstract":"In recent years the variances of speech features of speaker verification system were measured by computing covariance matrix parameterized through its eigenvalues and vectors by keeping fixed sliding window size. The computed eigenvectors were weighted with its corresponding magnitude and normalized. Then, the features were extracted and fused using different fusion techniques for recognizing the speaker. However, this approach was not suitable for all types of datasets and some significant feature information may be lost during extraction based on fixed window size. Hence in this article, the variable size sliding window is applied for Speaker Verification system. Initially, the speech signal is considered as input and the FMPM features are extracted using FDLP, MHEC and PNCC including MFCC based on the variable size of a sliding window. Here, the sliding window size is optimized by Modified Grey Wolf Optimization (MGWO) algorithm which is also used for selecting the classifier parameters and most optimal features adaptively. The most optimal features are selected from the extracted FMPM and classified by using GMM classification. Thus, the proposed approach allows continuous adaptation of SV using variable window size and classifier parameters. Finally, the considerable improvements in Speaker Verification are observed through experimental results.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122038823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the difficulties in reliability evaluation of small samples and multi-performance parameter products, a reliability evaluation method based on virtual samples and performance degradation is proposed. Firstly, the multi-performance parameter distance concept is introduced, and the original parameter is virtual augmented with the performance parameter distance. Secondly, the improved Elman neural network is used to process the sample to obtain the complete degradation trajectory. Finally, this method is combined with the performance prediction method based on performance degradation to process the degradation data of a certain type of space relay and obtain a lifetime of 128 hours. The result shows the method effectively solves the processing problem of the rare sample data in the accelerated degradation test, which has certain reference significance.
{"title":"Reliability Evaluation of Complex Equipment Based on Virtual Samples and Performance Degradation","authors":"Xinchao Zhao, Weimin Lv","doi":"10.1145/3277453.3277477","DOIUrl":"https://doi.org/10.1145/3277453.3277477","url":null,"abstract":"Aiming at the difficulties in reliability evaluation of small samples and multi-performance parameter products, a reliability evaluation method based on virtual samples and performance degradation is proposed. Firstly, the multi-performance parameter distance concept is introduced, and the original parameter is virtual augmented with the performance parameter distance. Secondly, the improved Elman neural network is used to process the sample to obtain the complete degradation trajectory. Finally, this method is combined with the performance prediction method based on performance degradation to process the degradation data of a certain type of space relay and obtain a lifetime of 128 hours. The result shows the method effectively solves the processing problem of the rare sample data in the accelerated degradation test, which has certain reference significance.","PeriodicalId":186835,"journal":{"name":"Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130403211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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