Failure Diagnosis of Demagnetization in Interior Permanent Magnet Synchronous Motors Using Vibration Characteristics

Ishikawa, Takeo; Igarashi, Naoto

doi:10.3390/app9153111

Cited by 16 publications

(7 citation statements)

References 30 publications

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“…Motor fault detection: Another four excellent papers have addressed motor fault detection. Goh and Kim [47] investigated the short circuit problem in an induction motor. Ishikawa and Igarashi [48] analyzed the demagnetization of a permanent magnet synchronous motor using finite element analysis.…”

Section: Contentmentioning

confidence: 99%

Fault Diagnosis of Rotating Machine

Królczyk

Antonino-Daviu

2020

Applied Sciences

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Section: Contentmentioning

confidence: 99%

Fault Diagnosis of Rotating Machine

Królczyk

Antonino-Daviu

2020

Applied Sciences

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“…The method can not only carry out the detection and evaluation of the degree of DMF but also the recognition of the demagnetization mode and the positioning of the magnetic demagnetization pole. Low levels of DMF can be detected also in [24] by the vibration characteristics method. Xuewei et al focused in [25] on the local demagnetization fault of permanent magnet synchronous linear motors (PMSLMs) and carried out the accurate identification of the position and degree of faulty PMs.…”

Section: Introductionmentioning

confidence: 98%

Motor Current Signature Analysis-Based Permanent Magnet Synchronous Motor Demagnetization Characterization and Detection

et al. 2020

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Neodymium-boron (NdFeB) permanent magnets (PMs) have been widely studied in the past years since they became the material of choice in permanent magnet synchronous machines (PMSMs). Although NdFeB PMs have a better energy density than other types of magnets and are cost-effective, their magnetization is very sensitive to the PMSM operating conditions, in particular temperature, where the irreversible demagnetization degree increases over time. Therefore, it is important to characterize and diagnose demagnetization at an early stage. In this context, this paper proposes a two-step analysis study dealing with both uniform and partial demagnetization. A 2D finite element method-based (FEM) approach is used for demagnetization characterization, and then a PMSM motor current signature analysis (MCSA) approach, based on fast Fourier transform (FFT), is considered where fault cases harmonics are considered as faults indices to detect demagnetization. In some situations, the proposed two-step approach achieved results that clearly allow distinguishing and characterizing demagnetization. Indeed, a local demagnetization introduces specific sub-harmonics while a uniform demagnetization leads to the current amplitude increase for a given torque.

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“…Eryilmaz 8 divided the product status into three types: full work, partial work, and complete failure, and proposed a reliability analysis method of a weighted k/n system composed of three state components. Ishikawa 9 used a three‐dimensional FEM (Finite Element Method) to clarify the vibration characteristics of a vector‐controlled permanent magnet synchronous motor with low demagnetization failure, and verified the correctness of the analysis by experiments. Yang 10 used an improved neural network algorithm to analyze the automobile failure, and established a car's failure prediction model.…”

Section: Introductionmentioning

confidence: 99%

Early failure active elimination system research for electromechanical product based on meta‐action

Wen

Liu

et al. 2021

Quality & Reliability Eng

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Frequent early failures have been the key factor restricting the reliability improvement of electromechanical product, and also reducing its market competitiveness. Most of the current early failure elimination methods are passive elimination technologies after a failure. Their purpose is to quickly restore the production capacity of products, which is mainly used to improve the reliability of the products, and cannot fundamentally improve the quality of the manufactured product. To address those problems, this paper first analyzed the causes of early failures in the production stage of electromechanical product, and studied the corresponding early failure elimination mechanism; second, according to the FRACAS (Failure Report Analysis and Corrective Action System), an early failure elimination method for electromechanical product was proposed based on the meta‐action unit; finally, in order to ensure the smooth implementation of early failure elimination measures, a set of early failure active elimination guarantee management system was established. In addition, this paper also introduced the specific implementation process of the proposed method. The proposed method is applied to engineering, and the results verify its correctness. The proposed method provides a theoretical basis and technical support for the elimination of electromechanical product early failure.

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Failure Diagnosis of Demagnetization in Interior Permanent Magnet Synchronous Motors Using Vibration Characteristics

Cited by 16 publications

References 30 publications

Fault Diagnosis of Rotating Machine

Fault Diagnosis of Rotating Machine

Motor Current Signature Analysis-Based Permanent Magnet Synchronous Motor Demagnetization Characterization and Detection

Early failure active elimination system research for electromechanical product based on meta‐action

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