Fault diagnosis method of distribution network based on time sequence hierarchical fuzzy petri nets

2021 ◽  
Vol 191 ◽  
pp. 106870
Author(s):  
Chuanlai Yuan ◽  
Yongyi Liao ◽  
Lingshuang Kong ◽  
Huiqin Xiao
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Distribution Network ◽  
Time Sequence ◽  
Fuzzy Petri Nets ◽  
Diagnosis Method

scholarly journals Power Grid Fault Diagnosis Method Using Intuitionistic Fuzzy Petri Nets Based on Time Series Matching

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Mingyue Tan ◽  
Jiming Li ◽  
Xiangqian Chen ◽  
Xuezhen Cheng
Keyword(s):  
Time Series ◽  
Fault Diagnosis ◽  
Petri Nets ◽  
Power Grid ◽  
New Method ◽  
Uncertain Information ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Petri Nets ◽  
Diagnosis Method ◽  
Diagnosis Model

To improve the reliability of power grid fault diagnosis by enhancing the processing ability of uncertain information and adequately utilizing the alarm information about power grids, a fault diagnosis method using intuitionistic fuzzy Petri Nets based on time series matching is proposed in this paper. First, the alarm hypothesis sequence and the real alarm sequence are constructed using the alarm information and the general grid protection configuration model, and the similarity of the two sequences is used to calculate the timing confidence. Then, an intuitionistic fuzzy Petri Nets fault diagnosis model, with an excellent ability to process uncertain information from intuitionistic fuzzy sets, is constructed, and the initial place value of the model is corrected by the timing confidence. Finally, an application of the fault diagnosis model for the actual grid is established to analyze and verify the diagnostic results of the new method. The results for some test cases show that the new method can improve the accuracy and fault tolerance of fault diagnosis, and, furthermore, the abnormal state of the component can be inferred.

scholarly journals Fault Diagnosis Method of Circuit Breakers Based on Weighted Fuzzy Petri Nets

2019 ◽  
Vol 486 ◽  
pp. 012101
Author(s):  
Xiaotong Zhang ◽  
Qing Chen ◽  
Mengxuan Sun ◽  
Wudi Huang ◽  
Wangyuan Gao
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Circuit Breakers ◽  
Fuzzy Petri Nets ◽  
Diagnosis Method

Research on Intelligent Fault Diagnosis Method Based on Rough Set Theory and Fuzzy Petri Nets

2010 ◽  
Vol 26-28 ◽  
pp. 77-82 ◽  
Author(s):  
Lan Yun Li ◽  
Zhuan Zhao Yang ◽  
Zhi He
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Rough Set Theory ◽  
Rough Sets Theory ◽  
Fault Features ◽  
Fuzzy Petri Nets ◽  
Diagnosis Method ◽  
Sets Theory ◽  
Complementary Strategy ◽  
Fault Information

Rough sets theory (RST) and Fuzzy Petri nets (FPN) have been widely used in fault diagnosis. However, RST has the weakness of over-rigidity decision, and FPN has the dimensional disaster problem. In order to solve these shortcomings, according to complementary strategy, a new fault diagnosis method based on integration of RST and FPN was presented. Firstly, RST was applied to remove redundant fault features and simply fault information, so that the minimal diagnostic rules can be obtained and the fault was roughly diagnosed. Secondly, the optimal FPN structure was built and the fault diagnosis was finally realized through matrix operation of FPN. Finally, a diesel engine fault diagnosis example was analyzed, and the results show that the proposed method not only holds the ability of RST for analyzing and reducing data, but also has the advantage of FPN for parallel reasoning, so it has strong engineering practicability and validity.

Research on Intelligent Fault Diagnosis Method for ESP Protector Based on Fuzzy Petri Nets

2010 ◽  
Vol 29-32 ◽  
pp. 691-696 ◽  
Author(s):  
Lan Yun Li ◽  
Zhuan Zhao Yang ◽  
Xiao Li ◽  
Zhi He
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Inference Algorithm ◽  
Submersible Pump ◽  
Fault Propagation ◽  
Matrix Operations ◽  
Fuzzy Petri Nets ◽  
Diagnosis Method ◽  
Fault Inference ◽  
Electric Submersible Pump

The protector is a key part of electric submersible pump (ESP), seals the motor and prevents the water entering into it. In order to solve the problem of complexity and uncertainty of fault propagation and analysis in protector, a new method for ESP protector fault diagnosis based on Fuzzy Petri nets (FPN) is proposed. Firstly, according to expert experiences and maintain rules, the FPN structure which has 28 places and 11 transitions is built to describe the protector fault propagation relations. Secondly, the five matrixes representing the FPN structure are obtained, and a rapid fault inference algorithm is designed via matrix operations. Finally, two fault diagnosis cases are analyzed, and the results show that the proposed method is valid and has strong engineering practicality.

Application of Fuzzy Petri Nets in Hydraulic Pump Fault Diagnosis

2014 ◽  
Vol 1008-1009 ◽  
pp. 1176-1179
Author(s):  
Hai Dong ◽  
Heng Bao Xin
Keyword(s):  
Fault Diagnosis ◽  
Petri Nets ◽  
Hydraulic Pump ◽  
Modeling And Analysis ◽  
Matrix Operations ◽  
Knowledge Reasoning ◽  
Fuzzy Production Rules ◽  
The Matrix ◽  
Fuzzy Petri Nets ◽  
Definition Of

In this paper, an approach of fuzzy Petri nets (FPN) is proposed to simulate the fault spreading and diagnosis of hydraulic pump. First, the fuzzy production rules and the definition of FPN were briefly introduced. Then, its knowledge reasoning process and the matrix operations based on an algorithm were conducted, which makes full use of its parallel reasoning ability and makes it simpler and easier to implement. Finally, a case of hydraulic pump fault diagnosis with FPN was presented in detail, for illustrating the interest of the proposed modeling and analysis algorithm.

scholarly journals Fault Diagnosis of Power Systems Based on Temporal Constrained Fuzzy Petri Nets

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 101895-101904 ◽  
Author(s):  
Biao Xu ◽  
Xin Yin ◽  
Xianggen Yin ◽  
Yikai Wang ◽  
Shuai Pang
Keyword(s):  
Fault Diagnosis ◽  
Power Systems ◽  
Petri Nets ◽  
Fuzzy Petri Nets

scholarly journals Wind Turbine Gearbox Fault Diagnosis Method Based on Riemannian Manifold

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Shoubin Wang ◽  
Xiaogang Sun ◽  
Chengwei Li
Keyword(s):  
Time Series ◽  
Riemannian Manifold ◽  
Fault Diagnosis ◽  
Wind Turbine ◽  
Covariance Matrix ◽  
Multivariate Time Series ◽  
Time Sequence ◽  
Mechanical Equipment ◽  
Wind Turbine Gearbox ◽  
Diagnosis Method

As multivariate time series problems widely exist in social production and life, fault diagnosis method has provided people with a lot of valuable information in the finance, hydrology, meteorology, earthquake, video surveillance, medical science, and other fields. In order to find faults in time sequence quickly and efficiently, this paper presents a multivariate time series processing method based on Riemannian manifold. This method is based on the sliding window and uses the covariance matrix as a descriptor of the time sequence. Riemannian distance is used as the similarity measure and the statistical process control diagram is applied to detect the abnormity of multivariate time series. And the visualization of the covariance matrix distribution is used to detect the abnormity of mechanical equipment, leading to realize the fault diagnosis. With wind turbine gearbox faults as the experiment object, the fault diagnosis method is verified and the results show that the method is reasonable and effective.

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