Development of Fault Diagnostic Method for Induction Motors Based on Multi-Dimensional Probability Density Functions

基于多维概率密度函数的感应电机故障诊断方法的研制

• 批准号: 21560297
• 负责人: MIZUNO Yukio
• 金额: $ 3万
• 依托单位: Nagoya Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2009
• 资助国家: 日本
• 起止时间: 2009 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21560297/
• 关键词: 故障診断; 誘導電動機; 巻線短絡; 電流; 特徴量; 確率密度関数; 振幅; 位相; 特微量

Probabilistic diagnosis method was developed to detect turnto-turn short-circuit fault of stator winding, which is one of the most probable faults in induction motors. It was confirmed that magnitude and phase were features characterizing current following into a winding, depending on winding conditions. Fault probability, defined as internal area of the ellipsoid, was derived theoretically based on feature distributions of healthy motors and features of a target motor to be diagnosed. Examination using motors with some kinds of turnto-turn shortcircuit faults proved that the method proposed is effective under both no-load and loaded conditions. Possible applications of the method are outgoing inspections by motor manufacturers and periodical/non-periodical inspection at site

开发了概率诊断方法来检测定子绕组匝间短路故障，这是感应电机最容易发生的故障之一。已证实，根据绕组条件，幅度和相位是表征流入绕组的电流的特征。故障概率，定义为椭球体的内部面积，是根据健康电机的特征分布和待诊断的目标电机的特征从理论上推导出来的。对存在多种匝间短路故障的电机进行了试验，证明该方法在空载和负载条件下均有效。该方法的可能应用是电机制造商的出厂检验和现场的定期/非定期检验

项目成果

巻線正常時と短絡時における誘導電動機の特徴量分布特性

绕组正常和短路时感应电机的特征分布特性

• 发表时间: 2011
• 作者: 岸野光佑;坂東広幸;水野幸男;中村久栄
• 通讯作者: 中村久栄

正常巻線の特徴量分布を用いた電動機固定子巻線の短絡診断

利用正常绕组特征分布进行电机定子绕组短路诊断

• 发表时间: 2010
• 作者: 福井裕幸;水野幸男;中村久栄
• 通讯作者: 中村久栄

固定子巻線電流に基づく誘導電動機の短絡故障診断

基于定子绕组电流的感应电机短路故障诊断

• 发表时间: 2009
• 作者: 福井裕幸;山崎光弘;水野幸男;中村久栄
• 通讯作者: 中村久栄

Probabilistic diagnosis of short circuit fault in stator winding of motor based on feature distribution

• DOI: 10.1109/elinsl.2010.5549770
• 发表时间: 2010-06
• 期刊: 2010 IEEE International Symposium on Electrical Insulation
• 作者: Hiroyuki Fukui;Y. Mizuno;Hisahide Nakamura

Insulation Diagnosis of Motor Winding Based on Feature Distributions

基于特征分布的电机绕组绝缘诊断

• 发表时间: 2011
• 期刊: Annual Report Conference on Electrical Insulation and Dielectric Phenomena
• 作者: K. Kishino;Y. Mizuno;H. Nakamura
• 通讯作者: H. Nakamura