2011 Fiscal Year Final Research Report
Development of Fault Diagnostic Method for Induction Motors Based on Multi-Dimensional Probability Density Functions
| Project/Area Number |
21560297
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Power engineering/Power conversion/Electric machinery
|
|---|
| Research Institution | Nagoya Institute of Technology |
|---|
Principal Investigator |
MIZUNO Yukio 名古屋工業大学, 大学院・工学研究科, 教授 (50190658)
|
|---|
| Research Collaborator |
NAKAMURA Hisahide 株式会社トーエネック, 技術開発室, 研究員
|
|---|
| Project Period (FY) |
2009 – 2011
|
| Keywords | 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 |
|---|
| Research Abstract |
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
|
