基于本体追踪的永磁同步电机驱动系统开路故障诊断方法

doi:10.19595/j.cnki.1000-6753.tces.210557

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Abstract A fault diagnosis method based on ontology tracking is proposed for the problems of permanent magnet synchronous machine (PMSM) system strong fault correlation, complex heterogeneous information, and traditional fault diagnostic methods cannot trace the true cause of the coupling fault. Taking the open-circuit fault of PMSM drive system as the main research object, firstly, define and standardize the ontology model in PMSM fault diagnosis field, and integrate the dense heterogeneous information in the PMSM system; secondly, on the basis of improving the normalized fault current data analysis method to accurately and quickly locate the fault switch pipe, the fault characteristics and identification results obtained from quantitative analysis are map to the fault field ontology model, extending the scope of fault diagnosis; finally, through the preset of semantic web rule language (SWRL) rule library and rule-based reasoning, integrate the ontology technology to trace and diagnose the fault cause, fault type and other information. Experiments verify that the proposed method improves the utilization of information among subsystems and can reasonably trace the cause of failure, providing a shared and easy to update standardized method for fault diagnosis of large complex systems.

Key words： Improved normalized error current ontology open circuit fault fault diagnosis drive system

Received: 20 April 2021

PACS:	TP182
	TP277

Fund:湖南省自然科学基金资助项目（2020JJ6034）

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	Articles by authors
	Zhang Xiaodan
	Duan Bin
	Liu Changjie
	Chen Yueping

Cite this article:

Zhang Xiaodan,Duan Bin,Liu Changjie等. Open Circuit Fault Diagnosis Method for Permanent Magnet Synchronous Machine Drive System Based on Ontology Tracking[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3341-3349.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.210557 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I13/3341

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