Application of Vibration Detection Technology in Rubber Extruder Fault Diagnosis

2020 ◽  
Author(s):  
Pan jia-fang ◽  
Liang min-chao ◽  
Huang fa-guo
Keyword(s):  
Fault Diagnosis ◽  
Vibration Detection ◽  
Detection Technology

Fault Diagnosis of Wind Turbines Based on Noise Detection

2013 ◽  
Vol 718-720 ◽  
pp. 405-408
Author(s):  
Jing Cheng ◽  
Wei Qing Wang ◽  
Shan He
Keyword(s):  
Fault Diagnosis ◽  
Engineering Application ◽  
Noise Measurement ◽  
Measurement Technology ◽  
Noise Detection ◽  
Vibration Detection ◽  
Technology Standard ◽  
Testing Technology ◽  
Diagnosis Method ◽  
Detecting Method

Aiming at backward current situation of testing technology and fault diagnosis technology of wind power generation in China, a fault diagnosis method based on based on noise detection is put forward. Studied IEC 61400-11 noise measurement technology standard, this paper elaborates the noise detecting method, analyzes the feasibility and diagnostic steps of fault diagnosis, proposes fault signal extracting method based on wavelet analysis. According to analysis and simulation, it is shown that noise measurement is earlier than vibration detection, and the fault signal can be extracted effectively, so it has important value for engineering application.

Study on the Miter Gate Fault Diagnosis Methods Based on Vibration Signals

2013 ◽  
Vol 468 ◽  
pp. 158-162
Author(s):  
Mei Yun Zhao ◽  
Jie Wang ◽  
Xiang Xiao Qin ◽  
Xiao Ni Kang ◽  
Rui Feng Wang
Keyword(s):  
Fault Diagnosis ◽  
Vibration Signal ◽  
Operating Mode ◽  
Analysis Techniques ◽  
Detection Technology ◽  
Periodic Maintenance ◽  
Before And After ◽  
Faults Diagnosis ◽  
Ship Lock

The miter gates of Three Gorges Dam and Gezhou Dam open and close frequently under low speeds and heavy loading conditions. The moving componets, including hoist, door shaft, roof pivot and bottom pivot, work long-term and go wrong easily. The traditional periodic maintenance and fault overhaul are ineffective and may cause damage and waste. So the miter gate fault diagnosis methods based on vibration signal are put forward in this subject. With the No.1 ship lock maintenance of Gezhou Dam, the top pivots poor lubrication operating mode was simulated. The vibration signal of top hub reinforcement plate was collected before and after overhaul, then several signal processing and analysis techniques were selected to research the fault diagnosis methods. The results illustrate that it is feasible to achieve miter gate faults diagnosis based on vibration signal detection technology, which has some certain guiding significance on miter gate maintenance.

The Study of Vibration Diagnosis Method for GIS

2013 ◽  
Vol 295-298 ◽  
pp. 2429-2432
Author(s):  
Pei Ding ◽  
Zhen Hua Yan ◽  
Fei Yue Ma ◽  
Liang Zhang ◽  
Jun Hao Li ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Field Test ◽  
Detection Method ◽  
Detection System ◽  
Vibration Signal ◽  
Normal Operation ◽  
Vibration Test ◽  
Test Results ◽  
Vibration Detection ◽  
Diagnosis Method

Gas insulated switchgear (GIS) will generate vibration during normal operation for the electromagnetic force. There will be generate abnormal vibration when the contacts are undesirable, the guide rod stressed unevenness. Therefore, it can be effective in fault diagnosis of this machineries through the vibration test of GIS in field. The vibration detection method of GIS equipment in field is studied in this paper, the composition of the vibration detection system is described. The field test has been done using vibration detection system and the test results show that through the vibration signal detected from the GIS equipment, the vibration characteristics of GIS can be clarified and make the fault diagnosis effectively.

scholarly journals Research and application of weak fault diagnosis method based on asymmetric potential stochastic resonance

2019 ◽  
Vol 52 (5-6) ◽  
pp. 625-633 ◽  
Author(s):  
Zhixing Li ◽  
Boqiang Shi ◽  
Xueping Ren ◽  
Wenyan Zhu
Keyword(s):  
Fault Diagnosis ◽  
Stochastic Resonance ◽  
Signal To Noise Ratio ◽  
Resonance Method ◽  
Bearing Failure ◽  
Asymmetric System ◽  
Symmetric Potential ◽  
Frequency Detection ◽  
Detection Technology ◽  
Potential Structure

Because fault characteristics are often difficult to extract from a strong noise background, it is essential for mechanical fault diagnosis to extract a weak characteristic signal with a very small signal-to-noise ratio from a noisy interference. Therefore, this paper proposes a new method for diagnosing weak faults in asymmetric potential stochastic resonance. Compared with the existing methods, the asymmetric potential stochastic resonance method not only has characteristics common to the symmetric potential stochastic resonance, but can also change the inclination of the barrier and slope of the wall to obtain a better model structure. The proposed method solves the local adjustment problem of the existing method from the perspective of potential structure and optimizes the asymmetric system shape to better target frequency detection during much interference from noise. After simulation, a bearing failure test, and rolling mill gearbox bearing failure experiments, we concluded that the asymmetric potential stochastic resonance detection technology can effectively identify faults. Compared with the symmetric potential stochastic resonance method, the proposed method has better recognition.

scholarly journals Reviews of Research on Mechanical Fault Diagnosis in GIS

2020 ◽  
Vol 155 ◽  
pp. 01015
Author(s):  
Yuqi Cai ◽  
Liang Jin
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
High Reliability ◽  
Research Direction ◽  
Fault Prediction ◽  
Future Research ◽  
Future Research Direction ◽  
Research Status ◽  
Detection Technology ◽  
At Home

Gas Insulated Switchgear (GIS) has been widely used in recent years due to their advantages of small floor area, high reliability and good safety. It has arised a series of problems. At present, researchers at home and abroad have done more in-depth research on insulation fault, but research on mechanical fault is insufficient. Firstly, this paper reviews the research status of mechanical fault detection technology in GIS at home and abroad. Secondly, the aspect of the principles of mechanical fault in GIS, fault judgment and location technology, and early fault prediction and status evaluation in GIS were summarized. Finally, the paper prospected the future research direction on this basis.

Research of Large Excavator Multidimensional Intelligent Vibration Monitoring and Fault Diagnosis System

2013 ◽  
Vol 706-708 ◽  
pp. 928-931
Author(s):  
Ying Li ◽  
Zheng Hua Ru ◽  
Yi Ru
Keyword(s):  
Fault Diagnosis ◽  
Online Monitoring ◽  
Vibration Monitoring ◽  
Life Safety ◽  
Remote Consultation ◽  
Security Risks ◽  
Diagnosis System ◽  
Vibration Detection ◽  
Fault Diagnosis System

Excavator vibration speed not only directly affects the life length of excavator, but also contains security risks which even relate to the life safety. This article focuses on the Large Excavator Multidimensional Intelligent Vibration Monitoring and Fault Diagnosis System, which allows the excavator to perform vibration detection and warning of the key components under normal using state, and realizes online monitoring as well as remote consultation.

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