Model-based fault diagnosis for a vehicle chassis system

Zhang, Xian; Pisu, Pierluigi

doi:10.1109/acc.2009.5159966

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…The physical parameters used in the vehicle chassis model are taken from a mid-sized car and can be found in [3]. The simulation is carried out under a lane change maneuver with a 15% bias fault on the yaw rate sensor at 6s, followed by a -15% bias fault on the lateral acceleration sensor at 30s.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In contrast, sliding mode observers (SMO) based FDI methods have no such restriction and, as most of the other time domain analysis tool, can be applied also to LTV systems. In [3], two sliding mode observers were developed for residual generation, with the equivalent control of each SMO containing a combination of the system faults to be detected. The same approach, however, can hardly be applied here in the same manner due to the difficulty of building a stable LTV observer by designing an appropriate time varying observer gain.…”

Section: Part I Of the Fdi Design: Residual Generatormentioning

confidence: 99%

“…In [2] a model based sensor monitoring system developed for ESP is used for detecting sensor faults only, providing little information about the status of other components, such as actuators. In [3], two FDI schemes are constructed, respectively based on the parity equation and SMO method, aiming at detecting and isolating an input fault and an output fault in a vehicle chassis system with constant longitudinal speed.…”

Section: Introductionmentioning

confidence: 99%

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State machine-based fault diagnosis with application in a vehicle chassis system

Zhang

Pisu

2010

Proceedings of the 2010 American Control Conference

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In this paper, a novel Fault Detection and Identification (FDI) scheme based on a state machine residual estimator method is presented. The FDI scheme is applied to actuator and sensor faults in a vehicle chassis system. To cope with the multiple faults isolation problem, the state machine records and utilizes the previous fault information to determine the current fault state. Simulation results show that multiple fault detection and isolation can be successfully achieved by the proposed state-machine based FDI scheme.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Part I Of the Fdi Design: Residual Generatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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State machine-based fault diagnosis with application in a vehicle chassis system

Zhang

Pisu

2010

Proceedings of the 2010 American Control Conference

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“…Chen 3 and Cui et al 4 analyzed the feasibility of intelligent diagnosis of signal equipment in the field operation of urban rail transit based on logs, and systematically built a signal intelligent maintenance model. Zhang et al 5 designed the system architecture on the basis of analyzing the functional requirements of online fault diagnosis system of CBTC vehicle-mounted subsystem, so as to realize the rapid acquisition and intelligent analysis of vehicle-mounted logs. The CBTC system test environment developed by Sun et al 6 monitors maintenance data between interfaces.…”

Section: Introductionmentioning

confidence: 99%

Research on fault tracing method of communication-based train control system

Zhou,

Zhang,

Xue

2023

Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023)

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The CBTC system, composed of multiple subsystems, is a crucial system that ensures safe and stable train operations. In the event of malfunctions during train operation, pinpointing the source of the problem can prove to be challenging, requiring the collaboration of personnel from various subsystems. The process of troubleshooting is tedious and time-consuming, making it difficult to quickly identify the root cause of the issue. This article proposes a solution through the development of an expert knowledge conversion module based on process diagrams, coupled with fault tree analysis and the design of an intelligent fault diagnosis and tracking system. This system enables the rapid tracing of the source of the malfunction, allowing for the swift localization of the root cause and visualization of the issue. This approach will revolutionize the current process and status quo of multi-subsystem personnel collaborating in step-by-step analysis for train fault analysis, significantly reducing the advanced human and time costs required for fault analysis and tracing, and improving the utilization of maintenance resources.

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“…In vehicle fault diagnosis practice of recent years, many effective approaches appear, and fault diagnosis method including analytical model based method [1][2] , expert knowledge based method [3][4] , signal processing based method [5][6] , data mining based method [7] . The above fault diagnosis methods are often applied in special diagnosis devices, this paper put forward a kind of carcarry fault diagnosis expert system based on fault tree analysis (FTA).…”

Section: Introductionmentioning

confidence: 99%

Design and realization of multi-function car-carry fault diagnosis system

Yue

Zongqiang

et al. 2011

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE)

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The present study fist proposed the structure of a multi-function car-carry fault diagnosis system, and the design of vehicle status monitoring module. Secondly, this paper analyzed the design of vehicle fault diagnosis expert knowledge base, inference machine and interpreter program. The paper used fault tree analysis (FTA) to establish fault tree of automotive engine, chassis systems, body parts and electrical equipment, then simplified the fault tree to form fault diagnosis rules, and establishes carcarry fault diagnosis expert system knowledge base. In its software implementation, SQLite database is used to save and manage diagnostic rules. Expert system inference engine uses an interactive search method based adopt reasoning mechanism. The expert system uses preset text to realize explanation. Finally, this paper discusses hardware and software design of the fault diagnosis system, and demonstrates the system's human-machine interface operating results.

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Model-based fault diagnosis for a vehicle chassis system

Cited by 7 publications

References 10 publications

State machine-based fault diagnosis with application in a vehicle chassis system

State machine-based fault diagnosis with application in a vehicle chassis system

Research on fault tracing method of communication-based train control system

Design and realization of multi-function car-carry fault diagnosis system

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