Application of extension theory in misfire fault diagnosis of gasoline engines

2009 ◽  
Vol 36 (2) ◽  
pp. 1217-1221 ◽  
Author(s):  
Jun Ye
Keyword(s):  
Fault Diagnosis ◽  
Extension Theory ◽  
Gasoline Engines

Research and Application of Extension CBR Fault Diagnosis Method for Process Production

2011 ◽  
Vol 467-469 ◽  
pp. 389-394
Author(s):  
Yuan Xu ◽  
Qun Xiong Zhu ◽  
Yan Qing Wang
Keyword(s):  
Fault Diagnosis ◽  
Terephthalic Acid ◽  
Formal Model ◽  
Solvent System ◽  
Basic Element ◽  
Extension Theory ◽  
Case Description ◽  
Work Efficiency ◽  
Diagnosis Method ◽  
Purified Terephthalic Acid

To enhance the work efficiency and systematization degree of fault diagnosis for process production, an extension CBR fault diagnosis (ECFD) method is proposed in which the extension theory applies the formal model to expand the possibility of matter and explore the innovative principle, and the CBR technology provides the ways for solution based on the historical experiences. Considering the characters of the two technologies, some researches are made on the extension basic-element case-description, distance-based extension case-retrieval, and character difference-based extension case-revision for fault diagnosis. Taking the purified terephthalic acid (PTA) solvent system as an application example for fault diagnosis, the ECFD method is proved to be feasible and effective, which provides a new way for diagnosing the production faults accurately.

scholarly journals Hybrid methodology based on extension theory for partial discharge fault diagnosis of power capacitors

2020 ◽  
Vol 17 (18) ◽  
pp. 20200250-20200250
Author(s):  
Meng-Hui Wang ◽  
Shiue-Der Lu ◽  
Mei-Ling Huang ◽  
Hong-Wei Sian ◽  
Cheng-Che Hsieh ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Partial Discharge ◽  
Extension Theory ◽  
Hybrid Methodology

scholarly journals Application of chaos and extension theory to fault diagnosis of three-phase synchronous generators

2019 ◽  
Vol 39 (3) ◽  
pp. 665-677 ◽  
Author(s):  
Shiue Der Lu ◽  
Meng Hui Wang ◽  
Shih Kai Chen
Keyword(s):  
Feature Extraction ◽  
Correlation Function ◽  
Fault Diagnosis ◽  
Chaos Theory ◽  
Synchronous Generator ◽  
Extension Theory ◽  
Measurement Circuit ◽  
Synchronous Generators ◽  
Three Phase ◽  
Normal Carbon

This study applied an extension algorithm combined with the Chaos Theory to the fault diagnosis of the three-phase synchronous generator. First, the three-phase synchronous generator is classified, including normal, carbon brush fault, three-phase unbalance, and insulation deterioration, and then by means of hardware measurement circuit and device, electrical signals are measured for each category and a chaotic error scatter map is built through the Chaos Theory to get the chaotic eye coordinates under specific fault categories. Next, the extension algorithm is used to carry out the correlation function and the normalization calculation, evaluating the type of fault to which it belongs. The analysis results show that the proposed method can effectively identify the fault types of three-phase synchronous generators and significantly reduce the amount of feature extraction data, so as to effectively detect the change of fault signals, allowing us to know the operation state of three-phase synchronous generators.

Hybrid Automata Modeling of SI Gasoline Engines towards State Estimation for Fault Diagnosis

2011 ◽  
Vol 5 (3) ◽  
pp. 759-781 ◽  
Author(s):  
Somnath Sengupta ◽  
Siddhartha Mukhopadhyay ◽  
Alok Deb ◽  
Kallappa Pattada ◽  
Soumen De
Keyword(s):  
Fault Diagnosis ◽  
State Estimation ◽  
Hybrid Automata ◽  
Gasoline Engines

scholarly journals Smart Fault-Tolerant Control System Based on Chaos Theory and Extension Theory for Locating Faults in a Three-Level T-Type Inverter

2019 ◽  
Vol 9 (15) ◽  
pp. 3071 ◽  
Author(s):  
Kuei-Hsiang Chao ◽  
Long-Yi Chang ◽  
Fu-Qiang Xu
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Chaotic System ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Extension Theory ◽  
Power Transistor ◽  
Three Phase ◽  
Power Switches ◽  
Lorenz Chaotic System

This study proposes a smart fault-tolerant control system based on the theory of Lorenz chaotic system and extension theory for locating faults and executing tolerant control in a three-level T-type inverter. First, the system constantly monitors the fault states of the 12 power transistor switches of the three-level T-type inverter; if a power transistor fails, the corresponding output phase voltage waveform is converted by a Lorenz chaotic system. Chaos eye coordinates are then extracted from a scatter diagram of chaotic dynamic states and considered as fault characteristics. The system then executes fault diagnosis based on extension theory. The fault characteristic value is used as the input signal for correlation analysis; thus, the faulty power transistor can be located and the fault diagnosis can be achieved for the inverter. The fault-tolerant control system can maintain the three-phase balanced output of the three-level T-type inverter, thereby improving the reliability of the motor drive system. The feasibility of the proposed smart fault-tolerant control system was assessed by conducting simulations in this study, and the results verified its feasibility. Accordingly, after the occurrence of the fault in power switches, the balanced three-phase output line voltage remained unchanged, and the quality of the output voltage was not reduced by using the integration of the proposed fault diagnosis system and fault-tolerant control system for a three-level T-type Inverter.

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