Research on Fault Diagnosis System for Aircraft Hydraulic Power Carts Based on Fuzzy Diagnosis Theory

2012 ◽  
Vol 220-223 ◽  
pp. 607-610
Author(s):  
Wei Qiang Zhao ◽  
Yong Xian Liu ◽  
Mo Wu Lu
Keyword(s):  
Fault Diagnosis ◽  
High Reliability ◽  
Complex Structure ◽  
Hydraulic Power ◽  
Diagnosis System ◽  
Diagnosis Method ◽  
New Type ◽  
Fault Diagnosis System ◽  
Fault Mode ◽  
Fuzzy Diagnosis

Aircraft hydraulic power carts are important aviation support equipment. Because of their complex structure they have high failure rate. Therefore fault diagnosis system for hydraulic power carts is necessary to ensure high reliability and maintainability for hydraulic power carts. This paper presents a diagnosis method based on fuzzy diagnosis theory in the developing process of a new type of hydraulic power carts. The fault Symptom, critical value and fault causes are established based on the research of fault mode for hydraulic power carts. And also the mathematical model of fault diagnosis for hydraulic power carts is established based on fuzzy diagnosis theory. The practical test results and fault diagnosis instances show that with this fault diagnosis system fast fault diagnosis for hydraulic power carts was carried out successfully.

Fuzzy Diagnosis of Tapping Process Fault

2009 ◽  
Vol 626-627 ◽  
pp. 207-212 ◽  
Author(s):  
H.L. Xue ◽  
Le Wang ◽  
Xue Yong Chen ◽  
Gui Cheng Wang
Keyword(s):  
Experimental Study ◽  
Fault Diagnosis ◽  
Fuzzy Theory ◽  
Weight Matrix ◽  
Diagnosis System ◽  
Process Failure ◽  
Diagnosis Method ◽  
Fault Diagnosis System ◽  
Fuzzy Diagnosis ◽  
Types Of Faults

Based on analyzing the problem of tap worn and broken in the tapping process, the faults in tapping process are classified into four types: tap worn, chips jamming, uneven hardness of material and the tapping process failure; According to the fuzzy theory, this paper describes the torque characteristic of the four types of faults, ascertains the characteristic vector of fault, presents the weight matrix among faults, puts forward the judgment method of system faults and establishes the fuzzy fault diagnosis system in tapping process. The experimental study shows that the fuzzy diagnosis method can effectively identify the four types of faults in tapping process and guard against tap broken.

Remote Fault Diagnosis System of Ultrahigh Speed Grinding Based on Multi-Agent

2009 ◽  
Vol 76-78 ◽  
pp. 67-71
Author(s):  
Wan Shan Wang ◽  
Tian Biao Yu
Keyword(s):  
Fault Diagnosis ◽  
Theoretical Research ◽  
Case Based Reasoning ◽  
Diagnosis System ◽  
Knowledge Reasoning ◽  
Diagnosis Method ◽  
Multi Agent ◽  
Fault Diagnosis System ◽  
Set Up ◽  
Remote Fault Diagnosis

A remote fault diagnosis method for ultrahigh speeding grinding based on multi-agent is presented. The general faults of ultrahigh speed grinding are analyzed and diagnosis model based on multi-agent is established, the dialogue layer, problem decomposition layer, control layer and problem solving layer in the process of diagnosis are studied and the knowledge reasoning model of fault diagnosis is set up based case-based reasoning (CBR) combining rule-based reasoning (RBR). Based on theoretical research, a remote fault diagnosis system of ultrahigh speed grinding is developed. Results of the system running prove the theory is correctness and the technology is feasibility.

Fault Diagnosis System Based on Fuzzy Theory of Vehicle Air Conditioner

2013 ◽  
Vol 329 ◽  
pp. 324-328
Author(s):  
Ying Hui Wang ◽  
Shu Sheng Xiong ◽  
Wen Lang ◽  
Yi Tian Tang
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Theory ◽  
Air Conditioner ◽  
Diagnosis System ◽  
Diagnosis Method ◽  
Fault Diagnosis System

To maintain the vehicle air conditioner efficiently, a fault diagnosis system based on fuzzy theory is prospected in this paper. A fault diagnosis method based on fuzzy theory was given. And according to the method, a fault diagnosis program was written with labview. Experiments proved that the fault diagnosis program was stable and functional. The accuracy of this fault diagnosis system is more than 80%. The system can be used to diagnosed the malfunction of vehicle air conditioner efficiently and discover the potential fault in time, helping to eliminate hidden dangers.

Study of Anti-Radiation Sensor Technology for Fault Diagnosis System of Nuclear Facilities

2014 ◽  
Vol 889-890 ◽  
pp. 813-816
Author(s):  
Feng Wei Yuan ◽  
Qian Deng ◽  
Yu Lin Wang
Keyword(s):  
Fault Diagnosis ◽  
Low Cost ◽  
Complex Structure ◽  
Audio Signal ◽  
Sensor Technology ◽  
Time Signal ◽  
Nuclear Facilities ◽  
Operating Personnel ◽  
Diagnosis System ◽  
Fault Diagnosis System

Due to the complex structure of nuclear facilities in a high irradiation environment, people were hard to approach it, In view of these situation a fault diagnosis method based on HMM(Hidden Markov Model) of capturing the audio signal while facilities were operating was proposed. With the strong modeling ability, HMM could be applied to analyzing such as audio signal non-stationary time signal. By using this method, the original mechanical structures of nuclear facilities were not destroyed. The preposed sensors were needed as few as possible by the whole diagnosis system and which had a simple structure, low cost structure, the fault diagnosis rate was high and so on. State monitoring and fault diagnosis system of complex nuclear ower equipment could timely and effective to provide running status and potential failure information for operating personnel, which had a vital significance for the safe and reliable operation of nuclear power equipment.

scholarly journals Research on rapier loom fault system based on cloud-side collaboration

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260888
Author(s):  
Yanjun Xiao ◽  
Kuan Wang ◽  
Weiling Liu ◽  
Kai Peng ◽  
Feng Wan
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Fault System ◽  
Human Machine Interaction ◽  
Diagnosis System ◽  
Depth Study ◽  
Diagnosis Method ◽  
Fault Diagnosis System ◽  
Electrical Faults ◽  
Machine Interaction

The electrical control system of rapier weaving machines is susceptible to various disturbances during operation and is prone to failures. This will seriously affect the production and a fault diagnosis system is needed to reduce this effect. However, the existing popular fault diagnosis systems and methods need to be improved due to the limitations of rapier weaving machine process and electrical characteristics. Based on this, this paper presents an in-depth study of rapier loom fault diagnosis system and proposes a rapier loom fault diagnosis method combining edge expert system and cloud-based rough set and Bayesian network. By analyzing the process and fault characteristics of rapier loom, the electrical faults of rapier loom are classified into common faults and other faults according to the frequency of occurrence. An expert system is built in the field for edge computing based on knowledge fault diagnosis experience to diagnose common loom faults and reduce the computing pressure in the cloud. Collect loom fault data in the cloud, train loom fault diagnosis algorithms to diagnose other faults, and handle other faults diagnosed by the expert system. The effectiveness of loom fault diagnosis is verified by on-site operation and remote monitoring of the loom human-machine interaction system. Technical examples are provided for the research of loom fault diagnosis system.

Research on Hydraulic Cylinder Fault Diagnosis System Based on ARM

2012 ◽  
Vol 619 ◽  
pp. 489-493
Author(s):  
Xiu Xu Zhao ◽  
Zhe Min Hu ◽  
Yan Chen Shang
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Hydraulic System ◽  
Hydraulic Cylinder ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Fault Mode ◽  
Detection Instrument

Hydraulic cylinder is an important actuator in hydraulic system, affecting the system running correctly and effectively. It’s closed and difficult to observe the failure symptoms, and result the difficulties of fault diagnosis and elimination for hydraulic cylinder. In this paper, a fault detection instrument and system for hydraulic cylinder are developed to diagnose the fault mode through position and pressure signals and infer decision based on FMEA base.

Study and Implementation of Fault Diagnostic Algorithms on Hydraulic Power Cart for Aircraft

2011 ◽  
Vol 383-390 ◽  
pp. 1536-1541
Author(s):  
Huai Bin Zhang ◽  
Hua Yang
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Real Time ◽  
Time Analysis ◽  
Hydraulic Power ◽  
Diagnosis System ◽  
Diagnostic Algorithms ◽  
Real Time Analysis ◽  
Fault Diagnosis System ◽  
Fault Diagnostic

According to the lack of simple, backward and low precision in fault diagnosis on hydraulic power cart for aircraft, an efficient vehicle fault diagnosis system on hydraulic power cart for aircraft is developed based on embedded technology. This system can identify the cause of the faults quickly and accurately according to the data collected in the spot and real-time analysis using expert system, the results show it greatly improves the efficiency and accuracy of fault diagnosis on hydraulic power cart for aircraft.

Fault Diagnosis System of Rolling Bearing Based on Wavelet Analysis

2012 ◽  
Vol 166-169 ◽  
pp. 951-955 ◽  
Author(s):  
Li Na Wang ◽  
Hong Bo Wang ◽  
Yong Hui Cai ◽  
Shi Long Wang
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Analysis ◽  
Friction Pair ◽  
Surface Damage ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Diagnosis System ◽  
Stationary Signals ◽  
Diagnosis Method ◽  
Fault Diagnosis System

According to the characteristics of fault vibration of rolling bearing (non-stationary signals), a method of fault diagnosis based on wavelet analysis is put forward. In the method, the signals included faulty information of rolling bearing are decomposed and reconstructed by Matlab software, and by zoom frequency spectrum analysis, the fault information composition of the rolling bearings can be extracted effectively to determine the faulty type of the rolling bearings. Based on the above, an applicable fault diagnosis system for rolling bearing with surface damage in friction pair was developed. It has been proven by practice that the diagnosis method of system is surefire and its results are stable and reliable. Through being improved and expanded，the system can be applied to collect and analyze other vibration signals.

Remote Fault Diagnosis System for Marine Power Machinery System

2013 ◽  
pp. 292-311
Author(s):  
Chengqing Yuan ◽  
Xinping Yan ◽  
Zhixiong Li ◽  
Yuelei Zhang ◽  
Chenxing Sheng ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Heavy Load ◽  
Diagnosis System ◽  
Power Machinery ◽  
Diagnosis Method ◽  
On Line ◽  
Identification Approach ◽  
Fault Diagnosis System ◽  
Machinery System ◽  
Remote Fault Diagnosis

Marine power machinery parts are key equipments in ships. Ships always work in rigorous conditions such as offshore, heavy load, et cetera. Therefore, the failures in marine power machinery would badly threaten the safety of voyages. Keeping marine power machineries running reliably is the guarantee of voyage safety. For the condition monitoring and fault diagnosis of marine power machinery system, this study established the systemic condition identification approach for the tribo-system of marine power machinery and developed integrated diagnosis method by combining on-line and off-line ways for marine power machinery. Lastly, the remote fault diagnosis system was developed for practical application in marine power machinery, which consists of monitoring system in the ship, diagnosis system in laboratory centre, and maintenance management & maintenance decision support system.

Remote Fault Diagnosis System for Marine Power Machinery System

Data Mining ◽  
2013 ◽  
pp. 2174-2192
Author(s):  
Chengqing Yuan ◽  
Xinping Yan ◽  
Zhixiong Li ◽  
Yuelei Zhang ◽  
Chenxing Sheng ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Heavy Load ◽  
Diagnosis System ◽  
Power Machinery ◽  
Diagnosis Method ◽  
On Line ◽  
Identification Approach ◽  
Fault Diagnosis System ◽  
Machinery System ◽  
Remote Fault Diagnosis

Marine power machinery parts are key equipments in ships. Ships always work in rigorous conditions such as offshore, heavy load, et cetera. Therefore, the failures in marine power machinery would badly threaten the safety of voyages. Keeping marine power machineries running reliably is the guarantee of voyage safety. For the condition monitoring and fault diagnosis of marine power machinery system, this study established the systemic condition identification approach for the tribo-system of marine power machinery and developed integrated diagnosis method by combining on-line and off-line ways for marine power machinery. Lastly, the remote fault diagnosis system was developed for practical application in marine power machinery, which consists of monitoring system in the ship, diagnosis system in laboratory centre, and maintenance management & maintenance decision support system.

Sign in / Sign up

Export Citation Format

Share Document