Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409623
Jiarong Liu, Lijun Sun, Huaxiang Wang
Under two-phase flow conditions, the performance of Coriolis mass flowmeters is significantly affected. A critical signal processing technique in Coriolis flowmeters is the estimation of resonance frequency and phase difference from sinusoidal vibration signals. This paper reviews three typical digital signal processing methods used to calculate phase difference, including Quadrature Demodulation, Hilbert Transform and Discrete Fourier Transform (DFT). These three methods are compared using simulated signals based on experimental results under two-phase flow conditions up to high GVFs (gas volume fractions) and low flow rate. The results indicate that, under two-phase flow conditions in particular for high GVFs and low flow rate, the three methods are affected in different degrees, and may need further modification to achieve better results under two-phase flow conditions.
{"title":"Signal processing of coriolis mass flowmeters under gas-liquid two-phase flow conditions","authors":"Jiarong Liu, Lijun Sun, Huaxiang Wang","doi":"10.1109/I2MTC.2018.8409623","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409623","url":null,"abstract":"Under two-phase flow conditions, the performance of Coriolis mass flowmeters is significantly affected. A critical signal processing technique in Coriolis flowmeters is the estimation of resonance frequency and phase difference from sinusoidal vibration signals. This paper reviews three typical digital signal processing methods used to calculate phase difference, including Quadrature Demodulation, Hilbert Transform and Discrete Fourier Transform (DFT). These three methods are compared using simulated signals based on experimental results under two-phase flow conditions up to high GVFs (gas volume fractions) and low flow rate. The results indicate that, under two-phase flow conditions in particular for high GVFs and low flow rate, the three methods are affected in different degrees, and may need further modification to achieve better results under two-phase flow conditions.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127301512","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409675
Peng Ping, Wenhu Qin, Yang Xu, C. Miyajima, K. Takeda
Measurement or evaluation of driving behavior is vital to the development of advanced driver assistance systems (ADAS). Accurate assessment of a driver's behavior allows the ADAS to make appropriate recommendations and function in harmony with the driver by adapting to the driver's personal driving style. Traditional driving behavior analysis methods focus on driving process modeling, which is complex and rarely be generalized for some special application like fuel consumption evaluation. In particular, the complexity of the modeling process, in combination with dynamic driving conditions, makes the quantitative analysis of the relationship between driving behavior and fuel consumption difficult to evaluate. Therefore, in this paper we propose a data mining-based method which can be used to measure the driving behavior's effect on fuel consumption by using real-world driving data. First, we introduce a spectral clustering algorithm which will be used with driving data to group drivers according to their driving styles. Then, we design a driving behavior evaluation experiment with fixed traffic conditions and a wireless data collection platform to collect the data. A data processing mechanism is also proposed to obtain the proper experimental driving data suitable to be the spectral clustering algorithm. Finally, we use actual fuel consumption as the ground truth to verify the accuracy of our method. The results show that the proposed method can measure the driving behavior's effect on the vehicle's fuel consumption well.
{"title":"Spectral clustering based approach for evaluating the effect of driving behavior on fuel economy","authors":"Peng Ping, Wenhu Qin, Yang Xu, C. Miyajima, K. Takeda","doi":"10.1109/I2MTC.2018.8409675","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409675","url":null,"abstract":"Measurement or evaluation of driving behavior is vital to the development of advanced driver assistance systems (ADAS). Accurate assessment of a driver's behavior allows the ADAS to make appropriate recommendations and function in harmony with the driver by adapting to the driver's personal driving style. Traditional driving behavior analysis methods focus on driving process modeling, which is complex and rarely be generalized for some special application like fuel consumption evaluation. In particular, the complexity of the modeling process, in combination with dynamic driving conditions, makes the quantitative analysis of the relationship between driving behavior and fuel consumption difficult to evaluate. Therefore, in this paper we propose a data mining-based method which can be used to measure the driving behavior's effect on fuel consumption by using real-world driving data. First, we introduce a spectral clustering algorithm which will be used with driving data to group drivers according to their driving styles. Then, we design a driving behavior evaluation experiment with fixed traffic conditions and a wireless data collection platform to collect the data. A data processing mechanism is also proposed to obtain the proper experimental driving data suitable to be the spectral clustering algorithm. Finally, we use actual fuel consumption as the ground truth to verify the accuracy of our method. The results show that the proposed method can measure the driving behavior's effect on the vehicle's fuel consumption well.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130652052","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409544
Jinpeng Song, Shulin Tian, Y. Hu
A simplified frequency-interleaved framework with digital back-end correction is presented for wideband analog-to-digital converters. Instead of channel-by-channel signal recovery, an iterative structure is proposed to simultaneously compensate the mismatches including in-phase/quadrature (I/Q) imbalances, jitter-induced distortions, as well as overlapping effects due to imperfect channel separation and incomplete anti-aliasing. The effectiveness of this novel architecture is validated via extensive simulations.
{"title":"A simplified frequency-interleaved ADC with integrated mismatch compensation","authors":"Jinpeng Song, Shulin Tian, Y. Hu","doi":"10.1109/I2MTC.2018.8409544","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409544","url":null,"abstract":"A simplified frequency-interleaved framework with digital back-end correction is presented for wideband analog-to-digital converters. Instead of channel-by-channel signal recovery, an iterative structure is proposed to simultaneously compensate the mismatches including in-phase/quadrature (I/Q) imbalances, jitter-induced distortions, as well as overlapping effects due to imperfect channel separation and incomplete anti-aliasing. The effectiveness of this novel architecture is validated via extensive simulations.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116953778","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}
This paper presents a novel portable chemical oxygen demand (COD) detection method and instrument design based on the microfluidic chip technology. The oxidation reaction and temperature detection are integrated in a microfluidic chip. The principle is that there is heat released during the oxidation of organic compounds and the heat is proportional to the amount of organic compounds contained in water sample. The heat variation can be converted to voltage signal which has linear relationship with COD value. In this research, the NaClO solution is employed as oxidizer and the glucose solution is served as analyte. Three different geometric microfluidic chips are designed in order to choose the most suitable microfluidic chip scheme, the oxidizer concentration and injection rates. The flows characteristics, mixing behavior and heat release of fluids within the microfluidic chip are simulated and investigated by COMSOL multi-physics simulation software. The results show that the most suitable NaClO concentration, injection rates and microfluidic chip scheme are 28mol/L, lmm/s and Y sharp with block. A portable COD detection instrument based on the microfluidic chip technology is developed. There is a simple experiment for proving the feasibility of the instrument, the experiment results show that the experiment device is work well.
{"title":"Chemical oxygen demand detection method research and portable instrument development based on microfluidic chip","authors":"Jinlong Shi, Ping Fu, Wenbin Zheng, Hongtao Yin, Lei Feng, Jiaqing Qiao","doi":"10.1109/I2MTC.2018.8409608","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409608","url":null,"abstract":"This paper presents a novel portable chemical oxygen demand (COD) detection method and instrument design based on the microfluidic chip technology. The oxidation reaction and temperature detection are integrated in a microfluidic chip. The principle is that there is heat released during the oxidation of organic compounds and the heat is proportional to the amount of organic compounds contained in water sample. The heat variation can be converted to voltage signal which has linear relationship with COD value. In this research, the NaClO solution is employed as oxidizer and the glucose solution is served as analyte. Three different geometric microfluidic chips are designed in order to choose the most suitable microfluidic chip scheme, the oxidizer concentration and injection rates. The flows characteristics, mixing behavior and heat release of fluids within the microfluidic chip are simulated and investigated by COMSOL multi-physics simulation software. The results show that the most suitable NaClO concentration, injection rates and microfluidic chip scheme are 28mol/L, lmm/s and Y sharp with block. A portable COD detection instrument based on the microfluidic chip technology is developed. There is a simple experiment for proving the feasibility of the instrument, the experiment results show that the experiment device is work well.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117032972","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409802
W. F. Diniz, L. Murliky, V. Brusamarello
This work presents a control procedure for tracking the tuning frequency of a wireless power transfer system. The inductive link tracks the maximum possible power delivered to the load by dynamically tuning the power source frequency, compensating misalignments or movements between the transmitter and receiver coils or any variations of the magnetic coupling factor. Initially, the equivalent circuit of the inductive link is characterized in order to identify the maximum power delivered to the load when both frequency of the power source and magnetic coupling factor k of the coils are varying. Thus, the trajectory of the maximum delivered power to the load is mapped and fitted in the plane of variations of both k and frequency with a polynomial of first degree. Also, the system monitors phase and magnitude of the input current of the inductive link, combining the data with the first degree polynomial and estimates the magnetic coupling coefficient between the transmitter and receiver coils. Finally, the frequency of the power source can be adjusted by a firmware according to the updated k, tracking the maximum power delivered to the load and closing the loop.
{"title":"Automatic control to compensate misalignments of a wireless power system","authors":"W. F. Diniz, L. Murliky, V. Brusamarello","doi":"10.1109/I2MTC.2018.8409802","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409802","url":null,"abstract":"This work presents a control procedure for tracking the tuning frequency of a wireless power transfer system. The inductive link tracks the maximum possible power delivered to the load by dynamically tuning the power source frequency, compensating misalignments or movements between the transmitter and receiver coils or any variations of the magnetic coupling factor. Initially, the equivalent circuit of the inductive link is characterized in order to identify the maximum power delivered to the load when both frequency of the power source and magnetic coupling factor k of the coils are varying. Thus, the trajectory of the maximum delivered power to the load is mapped and fitted in the plane of variations of both k and frequency with a polynomial of first degree. Also, the system monitors phase and magnitude of the input current of the inductive link, combining the data with the first degree polynomial and estimates the magnetic coupling coefficient between the transmitter and receiver coils. Finally, the frequency of the power source can be adjusted by a firmware according to the updated k, tracking the maximum power delivered to the load and closing the loop.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153117","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409539
Shiwei Liu, C. Tan, Hao Wu, F. Dong, J. Jia
Electrical impedance spectrum tomography (EIST) has become an important tool for biomedical and electrochemical research. Compared with the existing electrical impedance tomography, EIST can reveal the richer frequency information with higher resolution on the electrical properties analysis of biological materials, including amplitude and phase shift over a continuous frequency range. To achieve these functions, a dedicated hardware system must be developed to meet the requirement of wide frequency range and flat spectral characteristic. In this paper, a wideband chirp signal excitation source was designed to drive bioimpedance tissues. According to mathematical mechanism of a chirp signal, high quality chirp signal was generated with field programmable gate array and direct digital synthesis method. Furthermore, on the basis of single resistance calibration, experiments based on three elements impedance loads were executed to verify the feasibility and performance of the excitation source design. The measured results illustrate that the current excitation source has a qualified driving capability. Sensitive spectral response of amplitude and phase shift can be obtained by means of wideband chirp signal.
{"title":"Wideband chirp excitation source for bioelectrical impedance spectrum tomography","authors":"Shiwei Liu, C. Tan, Hao Wu, F. Dong, J. Jia","doi":"10.1109/I2MTC.2018.8409539","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409539","url":null,"abstract":"Electrical impedance spectrum tomography (EIST) has become an important tool for biomedical and electrochemical research. Compared with the existing electrical impedance tomography, EIST can reveal the richer frequency information with higher resolution on the electrical properties analysis of biological materials, including amplitude and phase shift over a continuous frequency range. To achieve these functions, a dedicated hardware system must be developed to meet the requirement of wide frequency range and flat spectral characteristic. In this paper, a wideband chirp signal excitation source was designed to drive bioimpedance tissues. According to mathematical mechanism of a chirp signal, high quality chirp signal was generated with field programmable gate array and direct digital synthesis method. Furthermore, on the basis of single resistance calibration, experiments based on three elements impedance loads were executed to verify the feasibility and performance of the excitation source design. The measured results illustrate that the current excitation source has a qualified driving capability. Sensitive spectral response of amplitude and phase shift can be obtained by means of wideband chirp signal.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121188910","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409765
A. Sheila-Vadde, V. Melapudi, M. Suma, K. M. M. Kumar, J. Ward
Accurate and reliable measurement of oil, gas and water flow rates as they flow along a pipe as a mixture continues to be a challenging problem in the oil and gas industry. Most of the solutions rely on radioactive sources. This paper explores the use of microwave sensors for flow rate measurement. Microstrip Patch sensors in transmission mode and a near field coaxial probe in reflection mode are used to estimate water fraction even in lossy (saline) medium using physics based models with minimal calibration. Reflection measurements from the Patch sensors are used to estimate gas fraction using empirical models which can enable measurement of gas in high loss cases. Gas velocity is measured from cross correlation. A low cost 5-port measuring instrument was built to do reliable reflection and transmission measurements over a wide temperature range. The microwave system was tested in in-house and external flow loops and in the field under varying temperatures and flow conditions and test results are presented in this paper.
{"title":"Non-intrusive microwave system for multiphase flow metering","authors":"A. Sheila-Vadde, V. Melapudi, M. Suma, K. M. M. Kumar, J. Ward","doi":"10.1109/I2MTC.2018.8409765","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409765","url":null,"abstract":"Accurate and reliable measurement of oil, gas and water flow rates as they flow along a pipe as a mixture continues to be a challenging problem in the oil and gas industry. Most of the solutions rely on radioactive sources. This paper explores the use of microwave sensors for flow rate measurement. Microstrip Patch sensors in transmission mode and a near field coaxial probe in reflection mode are used to estimate water fraction even in lossy (saline) medium using physics based models with minimal calibration. Reflection measurements from the Patch sensors are used to estimate gas fraction using empirical models which can enable measurement of gas in high loss cases. Gas velocity is measured from cross correlation. A low cost 5-port measuring instrument was built to do reliable reflection and transmission measurements over a wide temperature range. The microwave system was tested in in-house and external flow loops and in the field under varying temperatures and flow conditions and test results are presented in this paper.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116699277","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409672
Rivan Zhang, Arvind Rajan, Y. Kuang, M. Ooi, S. Demidenko
Reconfigurable microprocessor has the flexibility of allocating the number of bits for floating point number representation. This allows the hardware to manage the trade-off between computational accuracy versus resource utilization. By fine-tuning the precision used in mathematical computation, it is possible to optimize the memory usage, processing speed, power budget, latency, and maximum frequency while using less silicon area in the design. Thus, ignoring this potential will significantly limit the achievable performance. This paper extends the application of uncertainty analysis developed for measurement to the error bound estimation for floating-point computation. The results show that by searching for probabilistic bounds instead of mathematically guaranteed bounds, the tightness of the bounds can be substantially improved compared to the mainstream interval arithmetic and affine arithmetic methods. The proposed method will be useful for the design optimization of digital signal processing or machine intelligence modules that are not sensitive against occasional overflow and underflow.
{"title":"Towards implementing uncertainty propagation in probabilistic floating-point computation error bounding","authors":"Rivan Zhang, Arvind Rajan, Y. Kuang, M. Ooi, S. Demidenko","doi":"10.1109/I2MTC.2018.8409672","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409672","url":null,"abstract":"Reconfigurable microprocessor has the flexibility of allocating the number of bits for floating point number representation. This allows the hardware to manage the trade-off between computational accuracy versus resource utilization. By fine-tuning the precision used in mathematical computation, it is possible to optimize the memory usage, processing speed, power budget, latency, and maximum frequency while using less silicon area in the design. Thus, ignoring this potential will significantly limit the achievable performance. This paper extends the application of uncertainty analysis developed for measurement to the error bound estimation for floating-point computation. The results show that by searching for probabilistic bounds instead of mathematically guaranteed bounds, the tightness of the bounds can be substantially improved compared to the mainstream interval arithmetic and affine arithmetic methods. The proposed method will be useful for the design optimization of digital signal processing or machine intelligence modules that are not sensitive against occasional overflow and underflow.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117236984","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}
Pub Date : 2018-05-14DOI: 10.1109/I2MTC.2018.8409763
T. Schneider, N. Helwig, A. Schütze
In this paper a combination of methods for feature extraction and selection is proposed suitable for extracting highly relevant features for machine condition monitoring and related applications from time domain, frequency domain, time-frequency domain and the statistical distribution of the measurement values. The approach is fully automated and suitable for multiple condition monitoring tasks such as vibration and process sensor based analysis. This versatility is demonstrated by evaluating two condition monitoring datasets from our own experiments plus multiple freely available time series classification tasks and comparing the achieved results with the results of algorithms previously suggested or even specifically designed for these datasets.
{"title":"Automatic feature extraction and selection for condition monitoring and related datasets","authors":"T. Schneider, N. Helwig, A. Schütze","doi":"10.1109/I2MTC.2018.8409763","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409763","url":null,"abstract":"In this paper a combination of methods for feature extraction and selection is proposed suitable for extracting highly relevant features for machine condition monitoring and related applications from time domain, frequency domain, time-frequency domain and the statistical distribution of the measurement values. The approach is fully automated and suitable for multiple condition monitoring tasks such as vibration and process sensor based analysis. This versatility is demonstrated by evaluating two condition monitoring datasets from our own experiments plus multiple freely available time series classification tasks and comparing the achieved results with the results of algorithms previously suggested or even specifically designed for these datasets.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115536267","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}
It is a challenging problem to extract the periodic impulses from vibrational signals for fault diagnosis of rotating machines under strong background noise. Thus, in this paper, we propose a novel algorithm called periodic overlapping group elastic net to detect periodic impulses effectively. The novel penalty called overlapping group elastic net(OGEN) combines elastic net and overlapping group sparsity to promote sparsity within and across each group, and it can also be a generalization of many existed famous penalties like the lasso, group lasso, sparse group lasso, etc. Then, OGEN is extended to periodic overlapping group elastic net(POGEN) via constructing a periodic binary sequence to effectively model the periodic information. Moreover, an optimization algorithm based on majorization minimization is derived to minimize the objective function. Finally, the performance of the proposed algorithm is evaluated by numerical simulation through comparison with periodic overlapping group sparsity (POGS) and overlapping group sparsity (OGS), and effectiveness of the algorithm further demonstrates through carrying out the diagnosis of a motor rolling bearing.
{"title":"Periodic overlapping group elastic net for fault diagnosis","authors":"Zhibin Zhao, Xuefeng Chen, Shibin Wang, Shaohua Tian","doi":"10.1109/I2MTC.2018.8409547","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409547","url":null,"abstract":"It is a challenging problem to extract the periodic impulses from vibrational signals for fault diagnosis of rotating machines under strong background noise. Thus, in this paper, we propose a novel algorithm called periodic overlapping group elastic net to detect periodic impulses effectively. The novel penalty called overlapping group elastic net(OGEN) combines elastic net and overlapping group sparsity to promote sparsity within and across each group, and it can also be a generalization of many existed famous penalties like the lasso, group lasso, sparse group lasso, etc. Then, OGEN is extended to periodic overlapping group elastic net(POGEN) via constructing a periodic binary sequence to effectively model the periodic information. Moreover, an optimization algorithm based on majorization minimization is derived to minimize the objective function. Finally, the performance of the proposed algorithm is evaluated by numerical simulation through comparison with periodic overlapping group sparsity (POGS) and overlapping group sparsity (OGS), and effectiveness of the algorithm further demonstrates through carrying out the diagnosis of a motor rolling bearing.","PeriodicalId":393766,"journal":{"name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115653874","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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