Online Monitoring and Fault Diagnosis of Minibus Driving Axle for Bench Test

2015 ◽  
Author(s):  
Jin Dequan ◽  
Wang Qidong ◽  
Chen Wuwei ◽  
Li Huibin
Keyword(s):  
Fault Diagnosis ◽  
Online Monitoring ◽  
Bench Test

scholarly journals Engine Fault Detection Approach Based on Angle Domain Signal Model

2021 ◽  
Vol 2068 (1) ◽  
pp. 012034
Author(s):  
Hai Zeng ◽  
Ning Zeng ◽  
Jin Han ◽  
Yan Ding
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Failure Detection ◽  
Vibration Signal ◽  
Bench Test ◽  
Signal Model ◽  
Vibration Signals ◽  
Engine Vibration ◽  
Detection Approach ◽  
Diagnosis Approach

Abstract Engine vibration signals include strong noise and non-stationary signals. By the time domain signal processing approach, it is hard to extract the failure features of engine vibration signals, so it is hard to identify engine failures. For improving the success rate of engine failure detection, an engine angle domain vibration signal model is established and an engine fault detection approach based on the signal model is proposed. The angle domain signal model reveals the modulation feature of the engine angular signal. The engine fault diagnosis approach based on the angle domain signal model involves equal angle sampling and envelope analysis of engine vibration signals. The engine bench test verifies the effectiveness of the engine fault diagnosis approach based on the angle domain signal model. In addition, this approach indicates a new path of engine fault diagnosis and detection.

Based on the Online Monitoring and Fault Diagnosis System of the Main Hoist for Mine

2010 ◽  
Vol 42 ◽  
pp. 250-254
Author(s):  
Zhi Yong Pan ◽  
Quan Cai Wang ◽  
Wei Hong Ren
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Online Monitoring ◽  
Signal Acquisition ◽  
Diagnosis System ◽  
Current Voltage ◽  
Fault Diagnosis System ◽  
Real Time Database ◽  
Signal Acquisition And Processing ◽  
Main Hoist

According to the reality, an online monitoring and fault diagnosis system of the main hoist for Mine was designed in this article. The system adopts the signal acquisition and processing, fault diagnosis, Web visualization, network real-time database and other related technologies, Real-time monitoring the current, voltage, temperature, speed, vibration and other parameters of the main elevators to Achieve the goals that Increasing efficiency by downsizing, protecting the safe operation of equipment, reducing the maintenance costs.

The Research of Spectral-Line Monitoring of Transformer Vibration

2011 ◽  
Vol 128-129 ◽  
pp. 1489-1492
Author(s):  
Qiao Lin Ding ◽  
Jian Chen ◽  
Li Qing Liu
Keyword(s):  
Fault Diagnosis ◽  
Spectral Line ◽  
Network Model ◽  
Online Monitoring ◽  
Vibration Spectrum ◽  
Power Transformer ◽  
Monitoring Methods ◽  
Extraction Scheme ◽  
Transformer Fault

This paper presents the using vibration spectrum of transformer operational status with online monitoring methods, analyzes and discusses the transformer vibration spectrum about the producing mechanism and extraction scheme . At the same time, it also discusses the feasibility and necessity of using vibration spectrum methods to monitor the transformer fault .Some vibration spectrum methods ,relating to the transformer research contents and key technical breakthrough direction, are summarized in detail. Finally, it put forward a new immune from organization antibody network model and antibody generating algorithm that is used for vibration spectrum power transformer fault diagnosis.

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