Fault Diagnosis System Based on Fuzzy Theory of Vehicle Air Conditioner

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.

Download Full-text

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.76-78.67 ◽

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.

Download Full-text

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

PLoS ONE ◽

10.1371/journal.pone.0260888 ◽

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.

Download Full-text

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.220-223.607 ◽

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.

Download Full-text

Fault Diagnosis System of Rolling Bearing Based on Wavelet Analysis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.166-169.951 ◽

2012 ◽

Vol 166-169 ◽

pp. 951-955 ◽

Cited By ~ 2

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.

Download Full-text

Remote Fault Diagnosis System for Marine Power Machinery System

Diagnostics and Prognostics of Engineering Systems ◽

10.4018/978-1-4666-2095-7.ch015 ◽

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.

Download Full-text

Remote Fault Diagnosis System for Marine Power Machinery System

Data Mining ◽

10.4018/978-1-4666-2455-9.ch111 ◽

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.

Download Full-text

Real-Time Data-Based Fault Diagnosis System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.189-193.2621 ◽

2011 ◽

Vol 189-193 ◽

pp. 2621-2624

Author(s):

Hai Wang

Keyword(s):

Fault Diagnosis ◽

Real Time ◽

Historical Data ◽

Prototype System ◽

Time Data ◽

Diagnosis System ◽

Real Time Analysis ◽

Real Time Data ◽

Diagnosis Method ◽

Fault Diagnosis System

Mining from the equipment/technology process historical data can find diagnosis knowledge. Real-time analysis and evaluation on the status of equipment can be realized based on its current state parameters and historical information, which detect the potential fault rapidly and protect equipment to avoid failures further. This paper did an in-depth study in real-time data-based fault diagnosis system, built a real-time data integration platform and accomplished intelligent diagnosis method by ANFIS networks with the mined historical data. The production process was diagnosed and evaluated online with this diagnosis method. Combined with actual production system, its prototype system was developed.

Download Full-text

An intelligent bearing fault diagnosis system: A review

MATEC Web of Conferences ◽

10.1051/matecconf/201925506005 ◽

2019 ◽

Vol 255 ◽

pp. 06005

Author(s):

S.R. Saufi ◽

Z.A.B Ahmad ◽

M.S Leong ◽

M.H Lim

Keyword(s):

Machine Learning ◽

Fault Diagnosis ◽

Rolling Element Bearing ◽

Extreme Condition ◽

Financial Loss ◽

Diagnosis System ◽

Bearing Fault Diagnosis ◽

Healthy State ◽

Diagnosis Method ◽

Fault Diagnosis System

Rolling element bearing (REB) is a well-known component that most extensively used in the industry. They operate in extreme condition (high temperature, dirty environment) which may lead to unexpected failure after the certain operation. Faulty on bearing cause severe equipment damage, financial loss and threaten people's life. Development of proper fault diagnosis system of REB capable of preventing unexpected failure from occurs and maintain the machine work in the healthy state. Over a few decades, machine learning is introduced to provide a consistent fault diagnosis result. Hence, this paper reviewed the development of bearing diagnosis method using machine learning models.

Download Full-text