Study on Networking and Intelligent Fault Diagnosis System for Large-Scale Rotating Machinery

2012 ◽  
Vol 588-589 ◽  
pp. 178-184
Author(s):  
Jie Liu ◽  
Fang Xia Hu
Keyword(s):  
Fault Diagnosis ◽  
Remote Monitoring ◽  
Large Scale ◽  
Online Monitoring ◽  
Rotating Machinery ◽  
Functional Modules ◽  
Mixed Structure ◽  
Diagnosis System ◽  
Monitoring And Diagnosis ◽  
Fault Diagnosis System

A networking and intelligent online monitoring and fault diagnosis system for large-scale rotating machinery is developed according to requirements of an iron & steel enterprise. On the aspect of networking, a mixed structure of C/S and B/S is adopted, and the system integrates local online monitoring and diagnosis, remote monitoring and diagnosis, and remote diagnosis center. On the aspect of intelligent diagnosis, a multi-symptom comprehensive parallel diagnosis technology is adopted based on expert system, neural network and fuzzy logic. Finally, main functional modules and its realization are introduced. Application shows that the system runs normally, and the expected objective is achieved.

The Application of Nonlinear Modeling in the Fault Diagnosis of Fan

2014 ◽  
Vol 926-930 ◽  
pp. 3286-3289
Author(s):  
Yao Li ◽  
Lian Pan
Keyword(s):  
Fault Diagnosis ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Nonlinear Modeling ◽  
Dust Removal ◽  
Main Trend ◽  
Diagnosis System ◽  
Remote Monitoring System ◽  
Monitoring And Diagnosis ◽  
Fault Diagnosis System

The fault diagnosis of the history, present situation and main trend is reviewed. Based on a comparison of the traditional remote monitoring and diagnosis system, provides the architecture of a remote monitoring and diagnosis system. The remote monitoring and fault diagnosis system architecture for two dust removal fan remote monitoring system, the related research and development of the function and fault diagnosis research of the monitoring system, through the remote monitoring and fault diagnosis system can understand two dust removal fan running status, ensure the wind machine running status in the design constraints. It is proposed based on a nonlinear autoregressive moving average model, tested the sunspot data, then the model is applied to fault diagnosis of fan, the experimental results show that, the linear model and the traditional prediction model, has the high prediction accuracy, a new method is proposed for the Metallurgic Fan Machinery Fault diagnosis.

Probabilistic Model-Based Fault Diagnosis of the Rotor System

2007 ◽  
Author(s):  
Jiye Shao ◽  
Rixin Wang ◽  
Jingbo Gao ◽  
Minqiang Xu
Keyword(s):  
Fault Diagnosis ◽  
Bayesian Network ◽  
Network Model ◽  
Rotating Machinery ◽  
Rotor System ◽  
Bayesian Network Model ◽  
Diagnosis System ◽  
Model Based ◽  
Core Components ◽  
Fault Diagnosis System

The rotor is one of the most core components of the rotating machinery and its working states directly influence the working states of the whole rotating machinery. There exists much uncertainty in the field of fault diagnosis in the rotor system. This paper analyses the familiar faults of the rotor system and the corresponding faulty symptoms, then establishes the rotor’s Bayesian network model based on above information. A fault diagnosis system based on the Bayesian network model is developed. Using this model, the conditional probability of the fault happening is computed when the observation of the rotor is presented. Thus, the fault reason can be determined by these probabilities. The diagnosis system developed is used to diagnose the actual three faults of the rotor of the rotating machinery and the results prove the efficiency of the method proposed.

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 Remote Monitoring Management and Fault Diagnosis System of the Distributed Open Numerical Control System

2013 ◽  
Vol 589-590 ◽  
pp. 746-751
Author(s):  
Cong Guo Ma ◽  
Jian Guo Wang ◽  
Ya Zhou Li
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Remote Monitoring ◽  
Numerical Control ◽  
Numerical Control System ◽  
Cnc System ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Open Cnc System ◽  
Control Layer

This paper presents the design scheme of monitoring management and fault diagnosis of open CNC system based on Internet, the system hardware structure introduces network technology three-tier monitoring mode based on field control layer and process monitoring control layer and remote fault diagnosis layer, the system software design includes CNC system management and monitoring and fault diagnosis. The paper integrates condition monitoring and fault diagnosis and expert system technology into CNC system monitoring and management, and analyzes the requirements of distributed numerical control system, and details description system model of remote monitoring and fault diagnosis system. The practice has proved that the system design of open remote monitoring and fault diagnosis is practicality and feasibility.

Modeling a web-based remote monitoring and fault diagnosis system with UML and component technology

2006 ◽  
Vol 27 (1) ◽  
pp. 5-19 ◽  
Author(s):  
Xing Wu ◽  
Jin Chen ◽  
Ruqiang Li ◽  
Weixiang Sun ◽  
Guicai Zhang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Remote Monitoring ◽  
Component Technology ◽  
Web Based ◽  
Diagnosis System ◽  
Fault Diagnosis System

Distributed Monitoring and Intelligent Fault Diagnosis System for Large-Scale Electro-Hydraulic Devices

2015 ◽  
Vol 779 ◽  
pp. 163-168
Author(s):  
Gui You Hao ◽  
Jie Cheng ◽  
Zong Gui Zheng ◽  
Zhi Gang Yu ◽  
Gang Wu
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Large Scale ◽  
Sensor Data ◽  
Distributed Monitoring ◽  
Diagnosis System ◽  
Fusion Methods ◽  
Level Information ◽  
Fault Diagnosis System ◽  
Hydraulic Devices

In this paper, a distributed monitoring and intelligent diagnosis system is designed for large-scale electro-hydraulic devices, based on the utilization of information fusion technology. As a result of using multi-sensor data level, feature level and decision-making level information fusion methods, both precision and real-time performance of condition monitoring and fault diagnosis have been greatly improved, which leads to an advance in the accuracy of monitoring and diagnosis.

Sign in / Sign up

Export Citation Format

Share Document