In order to solve the problem of fast fault estimation involving large amplitude noise disturbance and small amplitude fault at the same time, a new sliding mode variable structure adaptive estimation method is designed. First, the original system is decoupled into two subsystems by constructing a suitable transformation matrix. For the subsystem containing only minor faults, a small fault fast estimation algorithm is proposed, which significantly improves the estimation performance of small faults. For the subsystem containing noise disturbances and small faults, a sliding mode observer is designed to eliminate the effects of noise and stabilize the integrated observer. Then the Lyapunov stability theory is used to prove the stability of the proposed integrated observer. Finally, the effectiveness of the method is verified by simulation experiments.
{"title":"A Rapid Diagnosis Method of Small Faults Based on Adaptive Sliding Mode Observer","authors":"Chang Liu, Ruirui Huang, Yandong Hou, Qianshuai Cheng","doi":"10.1109/SAFEPROCESS45799.2019.9213269","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213269","url":null,"abstract":"In order to solve the problem of fast fault estimation involving large amplitude noise disturbance and small amplitude fault at the same time, a new sliding mode variable structure adaptive estimation method is designed. First, the original system is decoupled into two subsystems by constructing a suitable transformation matrix. For the subsystem containing only minor faults, a small fault fast estimation algorithm is proposed, which significantly improves the estimation performance of small faults. For the subsystem containing noise disturbances and small faults, a sliding mode observer is designed to eliminate the effects of noise and stabilize the integrated observer. Then the Lyapunov stability theory is used to prove the stability of the proposed integrated observer. Finally, the effectiveness of the method is verified by simulation experiments.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121382608","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213391
Li-Guo Yuan, Shuyi Wang, Wenjing Liu, Chengrui Liu
Aiming at the sensor subsystem of spacecraft attitude control system equipped with gyroscopes, earth sensors and sun sensors, the observer-based fault detection and fault location problems are studied to ensure the decoupling of fault diagnosis results with actuator faults. The kinematics equation of spacecraft attitude control system and the measurement model of various sensors are given. Then the sensor subsystem is regarded as a virtual system with gyroscope outputs as input and earth sensor outputs and sun sensor outputs as outputs. On this basis, observers with different functions are designed according to different axes of spacecraft attitude control system, and the diagnostic logic is proposed correspondingly. Finally, the effectiveness of the algorithm is verified by the simulation of the satellite attitude control system.
{"title":"Sensor fault diagnosis scheme design for spacecraft attitude control system","authors":"Li-Guo Yuan, Shuyi Wang, Wenjing Liu, Chengrui Liu","doi":"10.1109/SAFEPROCESS45799.2019.9213391","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213391","url":null,"abstract":"Aiming at the sensor subsystem of spacecraft attitude control system equipped with gyroscopes, earth sensors and sun sensors, the observer-based fault detection and fault location problems are studied to ensure the decoupling of fault diagnosis results with actuator faults. The kinematics equation of spacecraft attitude control system and the measurement model of various sensors are given. Then the sensor subsystem is regarded as a virtual system with gyroscope outputs as input and earth sensor outputs and sun sensor outputs as outputs. On this basis, observers with different functions are designed according to different axes of spacecraft attitude control system, and the diagnostic logic is proposed correspondingly. Finally, the effectiveness of the algorithm is verified by the simulation of the satellite attitude control system.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"18 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123647020","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213261
Yihan Wang, Hongmei Liu
In the process of fault diagnosis of centrifugal pump, according to the characteristics of large amount of information, non-stationary and nonlinear of vibration signal, a fault diagnosis method based on Modified Ensemble Empirical Mode Decomposition- Permutation Entropy (MEEMD-PE) time-frequency information entropy and Random forest is proposed in this paper. First, the intrinsic mode functions (IMFs) component from high frequency to low frequency is obtained by MEEMD-PE method, and the IMFs with noise components are determined by the permutation entropy, These IMFs are regarded as pseudo components and removed. The main remaining IMFs, which contain important fault information are retained; Second, the short-time Fourier transform is performed on a series of IMFs. Then the time-frequency matrix containing the fault feature information is obtained. In addition, entropy of time-frequency matrixis also calculated byinformation entropy, which regarded as feature vector. Meanwhile, the feature vector is removed redundant feature information by principal component analysis method. At the same time, wavelet entropy feature extraction method is used to compare MEEMD-PE time-frequency information entropy. Finally, the fault feature matrix after dimensionality reduction is classified by random forest. The experimental results show that the method can effectively diagnose the centrifugal pump.
{"title":"Centrifugal pump fault diagnosis based on MEEMD-PE Time-frequency information entropy and Random forest","authors":"Yihan Wang, Hongmei Liu","doi":"10.1109/SAFEPROCESS45799.2019.9213261","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213261","url":null,"abstract":"In the process of fault diagnosis of centrifugal pump, according to the characteristics of large amount of information, non-stationary and nonlinear of vibration signal, a fault diagnosis method based on Modified Ensemble Empirical Mode Decomposition- Permutation Entropy (MEEMD-PE) time-frequency information entropy and Random forest is proposed in this paper. First, the intrinsic mode functions (IMFs) component from high frequency to low frequency is obtained by MEEMD-PE method, and the IMFs with noise components are determined by the permutation entropy, These IMFs are regarded as pseudo components and removed. The main remaining IMFs, which contain important fault information are retained; Second, the short-time Fourier transform is performed on a series of IMFs. Then the time-frequency matrix containing the fault feature information is obtained. In addition, entropy of time-frequency matrixis also calculated byinformation entropy, which regarded as feature vector. Meanwhile, the feature vector is removed redundant feature information by principal component analysis method. At the same time, wavelet entropy feature extraction method is used to compare MEEMD-PE time-frequency information entropy. Finally, the fault feature matrix after dimensionality reduction is classified by random forest. The experimental results show that the method can effectively diagnose the centrifugal pump.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"4 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123665395","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213381
K. Liang, L. Chen, Jianguo Liu
This article develops a fault-tolerant control strategy for a multi-propeller aerostat based on sliding mode control allocation approach. And the loss of effectiveness of propeller faults and the wind disturbance is considered in the system. The proposed control approach consists of two modules: the upper-level virtual control part, which is developed to enable the closed loop system asymptotically stable; the lower-level control allocation part, which can accommodate the propeller faults, and redistribute the virtual control vector to the available propellers. Stability analysis indicates that the aerostat plant is globally asymptotically stable. The validity of the developed fault tolerant control strategy is proved through simulation results based on a simplified multi-propeller aerostat with propeller faults.
{"title":"Fault-tolerant control for a Multi-propeller Aerostat based on sliding mode control allocation method","authors":"K. Liang, L. Chen, Jianguo Liu","doi":"10.1109/SAFEPROCESS45799.2019.9213381","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213381","url":null,"abstract":"This article develops a fault-tolerant control strategy for a multi-propeller aerostat based on sliding mode control allocation approach. And the loss of effectiveness of propeller faults and the wind disturbance is considered in the system. The proposed control approach consists of two modules: the upper-level virtual control part, which is developed to enable the closed loop system asymptotically stable; the lower-level control allocation part, which can accommodate the propeller faults, and redistribute the virtual control vector to the available propellers. Stability analysis indicates that the aerostat plant is globally asymptotically stable. The validity of the developed fault tolerant control strategy is proved through simulation results based on a simplified multi-propeller aerostat with propeller faults.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116920403","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213385
Ping Long, Bo Mi, Darong Huang, Hongyang Pan
Shamir's secret-sharing scheme is an important building block of modern cryptography. However, since multiplication between two variables is not linear, how to confidentially and efficiently multiply two shared secrets remains an open problem. Recently, Taihei et al. presented a feasible (k, n)-threshold secret-sharing protocol which is capable of achieving such product result even if only $k$ servers are available. Nevertheless, we argue their scheme is vulnerable that the threshold property can not withstand collaborative attacks. Thus accordingly, in this paper, we designed a practical cracking method against their scheme. In terms of intensive analysis, it can be see that our scheme is able to efficiently reveal the shared secret with high probability albeit less than $k$ servers are compromised.
{"title":"Cryptanalysis on a (k, n)-Threshold Multiplicative Secret Sharing Scheme","authors":"Ping Long, Bo Mi, Darong Huang, Hongyang Pan","doi":"10.1109/SAFEPROCESS45799.2019.9213385","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213385","url":null,"abstract":"Shamir's secret-sharing scheme is an important building block of modern cryptography. However, since multiplication between two variables is not linear, how to confidentially and efficiently multiply two shared secrets remains an open problem. Recently, Taihei et al. presented a feasible (k, n)-threshold secret-sharing protocol which is capable of achieving such product result even if only $k$ servers are available. Nevertheless, we argue their scheme is vulnerable that the threshold property can not withstand collaborative attacks. Thus accordingly, in this paper, we designed a practical cracking method against their scheme. In terms of intensive analysis, it can be see that our scheme is able to efficiently reveal the shared secret with high probability albeit less than $k$ servers are compromised.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114244393","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213257
Jin Chi, Yuanfang Liu, D. Luo, Langcai Cao
Aiming at the high incidence of faults and high maintenance cost of aero-engine gas path components, this paper adopts the condition-based maintenance mode and introduces the fault diagnosis method combining particle swarm optimization (PSO)with support vector machine(SVM). Firstly, the fault diagnosis method of aero-engine gas path based on SVM is proposed. Then, kernel function parameters and penalty coefficients of SVM are optimized by PSO. Finally, the aero-engine gas path fault diagnosis model based on PSO-SVM is established. The simulation results show that the design method of fault diagnosis of aero-engine Gas path based on PSO-SVM has advantages of short prediction time, high prediction efficiency and higher accuracy than the traditional diagnosis method based on SVM, reached 100%. Moreover, the effect of PSO on kernel function parameters and penalty coefficients is better than that of other optimization algorithms.
{"title":"Fault Diagnosis of Aero-engine Gas Path Base on PSO-SVM","authors":"Jin Chi, Yuanfang Liu, D. Luo, Langcai Cao","doi":"10.1109/SAFEPROCESS45799.2019.9213257","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213257","url":null,"abstract":"Aiming at the high incidence of faults and high maintenance cost of aero-engine gas path components, this paper adopts the condition-based maintenance mode and introduces the fault diagnosis method combining particle swarm optimization (PSO)with support vector machine(SVM). Firstly, the fault diagnosis method of aero-engine gas path based on SVM is proposed. Then, kernel function parameters and penalty coefficients of SVM are optimized by PSO. Finally, the aero-engine gas path fault diagnosis model based on PSO-SVM is established. The simulation results show that the design method of fault diagnosis of aero-engine Gas path based on PSO-SVM has advantages of short prediction time, high prediction efficiency and higher accuracy than the traditional diagnosis method based on SVM, reached 100%. Moreover, the effect of PSO on kernel function parameters and penalty coefficients is better than that of other optimization algorithms.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114693267","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213429
Zhonghao Wang, Zhengguo Xu
This paper focuses on the photovoltaic (PV) system and studies the dust depositing diagnosis of the PV modules. An unsupervised data-driven method called Similarity-Based Modeling (SBM) was used to deal with this problem and some improvements of this method were adopted. SBM is a nonparametric empirical modeling technology that uses pattern recognition from historical data to generate estimates of the current values of each variable in a set of modeled data sources. The motivation to use SBM is that the mainstream approaches now, contrast experiments approaches and theoretical formulas approaches have many disadvantages. Contrast experiments are complicated and need experiment systems with high-cost. Theoretical formulas approaches are not accurate enough. SBM overcomes them to some extent. Numerical experiments are also studied to testify that the proposed method has good performance in the application.
{"title":"Dust Deposition Diagnosis of Photovoltaic Modules Using Similarity-Based Modeling (SBM) Approach","authors":"Zhonghao Wang, Zhengguo Xu","doi":"10.1109/SAFEPROCESS45799.2019.9213429","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213429","url":null,"abstract":"This paper focuses on the photovoltaic (PV) system and studies the dust depositing diagnosis of the PV modules. An unsupervised data-driven method called Similarity-Based Modeling (SBM) was used to deal with this problem and some improvements of this method were adopted. SBM is a nonparametric empirical modeling technology that uses pattern recognition from historical data to generate estimates of the current values of each variable in a set of modeled data sources. The motivation to use SBM is that the mainstream approaches now, contrast experiments approaches and theoretical formulas approaches have many disadvantages. Contrast experiments are complicated and need experiment systems with high-cost. Theoretical formulas approaches are not accurate enough. SBM overcomes them to some extent. Numerical experiments are also studied to testify that the proposed method has good performance in the application.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124002173","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213348
Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge
This paper proposes a novel fault diagnosis method by means of back-propagation based contribution (BBC) for nonlinear process. As a method based on the deep learning model, BBC can deal with the nonlinear problem in process monitoring by utilizing the nonlinear features extracted by auto-encoder (AE). Moreover, the smearing effect is an important factor affecting the performance of fault diagnosis. In order to solve this problem, BBC utilizes the basic idea of reconstruction based contribution (RBC), and describes the propagation of fault information by back-propagation (BP) algorithm. The validity of the proposed method is tested and verified by a nonlinear numerical example and the Tennessee Eastman benchmark process.
{"title":"Back-propagation Based Contribution for nonlinear fault diagnosis","authors":"Jinchuan Qian, Li Jiang, Zhihuan Song, Zhiqiang Ge","doi":"10.1109/SAFEPROCESS45799.2019.9213348","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213348","url":null,"abstract":"This paper proposes a novel fault diagnosis method by means of back-propagation based contribution (BBC) for nonlinear process. As a method based on the deep learning model, BBC can deal with the nonlinear problem in process monitoring by utilizing the nonlinear features extracted by auto-encoder (AE). Moreover, the smearing effect is an important factor affecting the performance of fault diagnosis. In order to solve this problem, BBC utilizes the basic idea of reconstruction based contribution (RBC), and describes the propagation of fault information by back-propagation (BP) algorithm. The validity of the proposed method is tested and verified by a nonlinear numerical example and the Tennessee Eastman benchmark process.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121461874","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213428
Shige Ding, Wei Dong, Xinya Sun, Haixia Wang
In this paper, a research method based on characteristic quantity is proposed aiming at the dynamic risk propagation of escalators in regional rail transit hubs. Through the analysis of the risk propagation process of escalator electrical fault, the function relationship between failure rate of escalator and characteristic quantities is obtained. Then AnyLogic is used to model for obtaining the dynamic distribution of passenger flow in the transportation hub, so as to get the consequences severity of the escalator failure. Finally, the Chongqing North Railway Station transportation hub is selected as a case to verify the effectiveness of the method, so it provides effective technical support for the risk control of escalator electrical faults in the transportation hub.
{"title":"A Dynamic Risk Analysis Method for Escalator of Rail Transit Hub Based on Characteristic Quantity","authors":"Shige Ding, Wei Dong, Xinya Sun, Haixia Wang","doi":"10.1109/SAFEPROCESS45799.2019.9213428","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213428","url":null,"abstract":"In this paper, a research method based on characteristic quantity is proposed aiming at the dynamic risk propagation of escalators in regional rail transit hubs. Through the analysis of the risk propagation process of escalator electrical fault, the function relationship between failure rate of escalator and characteristic quantities is obtained. Then AnyLogic is used to model for obtaining the dynamic distribution of passenger flow in the transportation hub, so as to get the consequences severity of the escalator failure. Finally, the Chongqing North Railway Station transportation hub is selected as a case to verify the effectiveness of the method, so it provides effective technical support for the risk control of escalator electrical faults in the transportation hub.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121473184","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 : 2019-07-01DOI: 10.1109/SAFEPROCESS45799.2019.9213361
Xintong Chu, Jin Guo, Yin Tong
The traditional HAZOP analysis method over-rely on the experts' subjective evaluation and lacks the consideration about risk correlations between risk points. In order to solve these problems, a HAZOP quantization analysis method based on the improved CUOWGA operator and the Sharpley value is proposed. Taking the balise as an example, first, use HAZOP to implement a qualitative analysis of the balise functional layered model. Second, establish a fuzzy evaluation set to quantify the expert evaluation as a confidence interval. Then use the CUOWGA operator to assemble the evaluation and to reduce the subjectivity. Use the Sharpley value to calculate the risk weight after considering the risk correlation. Finally, a safety quantitative assessment of the balise system can be obtained. The assessment shows that the failure probability of the balise system is 28.84%, and the risk level is “Tolerable”. The greatest impact on the system is the ATP transmits information sub-functions failure. The result is consistent with the practical application, which shows that the method is effective.
{"title":"HAZOP Quantitative Analysis of the Balise Based on the Improved CUOWGA - Sharpley Value","authors":"Xintong Chu, Jin Guo, Yin Tong","doi":"10.1109/SAFEPROCESS45799.2019.9213361","DOIUrl":"https://doi.org/10.1109/SAFEPROCESS45799.2019.9213361","url":null,"abstract":"The traditional HAZOP analysis method over-rely on the experts' subjective evaluation and lacks the consideration about risk correlations between risk points. In order to solve these problems, a HAZOP quantization analysis method based on the improved CUOWGA operator and the Sharpley value is proposed. Taking the balise as an example, first, use HAZOP to implement a qualitative analysis of the balise functional layered model. Second, establish a fuzzy evaluation set to quantify the expert evaluation as a confidence interval. Then use the CUOWGA operator to assemble the evaluation and to reduce the subjectivity. Use the Sharpley value to calculate the risk weight after considering the risk correlation. Finally, a safety quantitative assessment of the balise system can be obtained. The assessment shows that the failure probability of the balise system is 28.84%, and the risk level is “Tolerable”. The greatest impact on the system is the ATP transmits information sub-functions failure. The result is consistent with the practical application, which shows that the method is effective.","PeriodicalId":353946,"journal":{"name":"2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128688273","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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