The application of spot test repair system in fault diagnosis of mine equipment

2019 ◽  
Vol 1 (1) ◽  
pp. 7-11
Author(s):  
Ma Weimin
Keyword(s):  
Fault Diagnosis ◽  
Spot Test ◽  
Repair System

Research on the NC Machine Fault Diagnosis and Repair System with Case-Based Reasoning

2013 ◽  
Vol 401-403 ◽  
pp. 1243-1246 ◽  
Author(s):  
Jian Bo Zhao
Keyword(s):  
Fault Diagnosis ◽  
Case Based Reasoning ◽  
Repair System ◽  
Widespread Application ◽  
Machine Failure ◽  
Machine Fault Diagnosis ◽  
Nc Machine ◽  
Machine Fault ◽  
Analysis System ◽  
Case Based

Since the widespread application of NC machine, fault diagnosis and repair of NC machine has been the subject of attention. Now both at home and abroad has a number of new concepts and methods to the field. The application of CBR technology in NC machine fault diagnosis analysis system is a very good exploration and research. Application of CBR technology is based on similarity of NC machine failure, using the method of case-based reasoning to identify the reference case, diagnosis method with reference to the case to find a reasonable solution. The CBR technology is applied to diagnose faults of CNC system, the accumulation of collection is convenient for the experts' experience, the fault diagnosis analysis system is more practical.

A specific spot test for iron

1960 ◽  
Vol 23 ◽  
pp. 225-226 ◽  
Author(s):  
K LALMALLIK ◽  
B SEN
Keyword(s):  
Spot Test

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Case Study on Fault Diagnosis of the Actual Operating Transformer by FRA

2011 ◽  
Vol 131 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Takahiro Sano ◽  
Yoshiharu Ogawa ◽  
Takaaki Shimonosono ◽  
Tadayuki Wada
Keyword(s):  
Fault Diagnosis ◽  
Actual Operating
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