This paper proposes current envelope analysis (CEA) to analyze bearing fault signals in
brushless direct current (BLDC) motors, and back propagation neural networks (BPNN) to …

This thesis presents an account of investigations made into building bearing fault classifiers
for outer race faults (ORF), inner race faults (IRF), ball faults (BF) and no fault (NF) cases …

In this study, an algorithm for diagnosis of dc motor with winding open fault is suggested. A
dc motor used in this paper, is consisted of a permanent magnet field stator, double 16-turn …

A methodology for common failure types classification of wind turbine based on the Hilbert-
Huang Transform (HHT) with Fractal feature enhancement is proposed. Firstly, failure types …

This paper proposes an oil/lubrication level recognition (LLR) approach for a gearbox of a
wind power system. The approach can recognize the lubrication level of a gearbox by only …

This study proposes a novel method for common failure conditions classification of wind
turbine based on the Hilbert-Huang transform (HHT) with fractal feature enhancement. First …

This paper adopts Hilbert-Huang transform (HHT) for fault signals analysis of DC motors and
the back propagation neural network (BPNN) for automatic fault diagnosis. First, motor …

본 연구에서는 DC 모터의 전류 신호 해석을 통해 권선 단락 및 정류자편 단락 고장을 진단하는
방법을 제안하였다. 연구에 사용된 DC 모터는 태양광 발전 시스템의 트랙커 구동용 전동기로 …

Condition monitoring and fault diagnosis of serial wound starter motor with learning vector
quantization network | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細 …

In this study, an algorithm for diagnosis of dc motor with winding open fault is suggested. A
dc motor used in this paper, is consisted of a permanent magnet field stator, double 16-turn …