| Title |
Investigation of electric machine diagnostic system / |
| Translation of Title |
Elektros mašinų diagnostikos priemonių sukūrimas ir taikymas. |
| Authors |
Andrijauskas, Ignas |
| Full Text |
|
| Pages |
32 |
| Keywords [eng] |
induction motor ; fault ; diagnosis |
| Abstract [eng] |
The aim of the presented study is the development of a new methodology for asynchronous motor fault diagnosis while using the well known and/or newly developed methods. The developed tools must enable ability to detect mechanical faults by use of the stator current signal. After the completion of simulating progressive unbalance, detailed dependency between information entropy and the level of unbalance has been revealed. No information has been detected in the reviewed scientific literature about the presented type of study. For the first time, the Neighborhood Component Feature Selection (NCFS) method has been applied for the selection of features for single-point fault diagnosis. The method for generalized roughness bearing fault diagnosis by the use of the stator current signal has been specified. No information has been noted on successive fault diagnosis with the use of the stator current signal. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Summaries of doctoral thesis |
| Language |
English |
| Publication date |
2020 |
