A stator fault detection method, device, equipment and medium of an ultra-high-speed motor

By combining high-frequency impedance testing and inter-turn surge characteristics, the problem of identifying hidden high-frequency loss defects in ultra-high-speed motor stators has been solved. This has enabled efficient detection and defect classification at the stator component level, avoiding the scrapping of the entire machine and improving production efficiency and product quality.

CN122193916APending Publication Date: 2026-06-12JIANGSU EASYLAND AUTOMOTIVE CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU EASYLAND AUTOMOTIVE CORP
Filing Date
2026-04-09
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing technologies cannot effectively identify and distinguish the hidden defects of high-frequency loss in the stator of the ultra-high-speed motor in a 100,000 rpm hydrogen fuel cell air compressor, leading to the scrapping of the entire unit and high losses. Moreover, existing detection methods are time-consuming and costly, and cannot be adapted to mass production full inspection.

Method used

By acquiring the high-frequency resistance, inductance, inter-turn test attenuation coefficient, and inter-turn test oscillation period of the stator under test, a high-frequency impedance test value and loss mapping model is established. Combined with the characteristics of inter-turn surge test, offline static detection and defect classification at the stator component level are realized.

Benefits of technology

It enables high-frequency loss anomaly detection at the stator component level, avoiding the scrapping of the entire machine after potting, improving production efficiency and product quality, reducing costs, and eliminating the need for load testing of the entire machine.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a method, apparatus, equipment, and medium for stator fault detection in ultra-high-speed motors. The method first acquires the high-frequency resistance test value, high-frequency inductance test value, inter-turn test attenuation coefficient, and inter-turn test oscillation period for each phase of the stator under test. Then, based on these parameters, it determines the core fault condition and winding fault condition of the stator. This method enables the detection and assessment of stator loss anomalies and defects in ultra-high-speed motors, solving the problem that existing technologies cannot identify hidden high-frequency loss defects at the stator component level, the problem that existing technologies cannot distinguish between stator core faults and stator winding faults (two types of non-insulating process defects), and the problem that existing technologies rely on temperature rise tests under load and have low testing efficiency, making them unsuitable for mass production full inspection.
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