Flexible and Smart Online Monitoring and Fault Diagnosis System for Rotating Machinery

2012 ◽  
Author(s):  
Pinting Zhang ◽  
Tao Yang ◽  
Jianlan Li ◽  
Shuhong Huang
Keyword(s):  
Fault Diagnosis ◽  
Online Monitoring ◽  
Rotating Machinery ◽  
Diagnosis System ◽  
Fault Diagnosis System

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.

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.

scholarly journals Fault Diagnosis System of Rotating Machinery Vibration Signal

2011 ◽  
Vol 15 ◽  
pp. 671-675 ◽  
Author(s):  
Lei You ◽  
Jun Hu ◽  
Fang Fang ◽  
Lintao Duan
Keyword(s):  
Fault Diagnosis ◽  
Vibration Signal ◽  
Rotating Machinery ◽  
Diagnosis System ◽  
Fault Diagnosis System

Design and Implementation of Online Monitoring and Remote Diagnostic System for CNC Machine Tools

2013 ◽  
Vol 819 ◽  
pp. 136-139
Author(s):  
Lu Yang Jing ◽  
Tai Yong Wang ◽  
Dong Xiang Chen ◽  
Jing Xiang Fang
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Machine Tools ◽  
Online Monitoring ◽  
Acquisition System ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Remote Fault Diagnosis

With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.

Research on B/S Mode-Based Rotating Machinery Remote Status Monitoring and Fault Diagnosis System

2011 ◽  
Vol 105-107 ◽  
pp. 747-750
Author(s):  
Li Guo Wang
Keyword(s):  
Fault Diagnosis ◽  
Diagnostic System ◽  
Rotating Machinery ◽  
Laboratory Simulation ◽  
Diagnosis System ◽  
Status Monitoring ◽  
System Realization ◽  
Composition And Structure ◽  
Fault Diagnosis System ◽  
Realization Process

This paper discusses the composition and structure of B/S mode-based rotating machinery remote status monitoring and fault diagnosis system, builds the system network model, makes detailed introduction of fault diagnosis mode, system hardware composition, software platform and system realization process, and carries out laboratory simulation on the feasibility of remote monitoring diagnostic system.

A Monitoring and Fault Diagnosis System for Aero-Engine Pipeline Based on Distributed Fiber Bragg Grating Sensor

2014 ◽  
Vol 556-562 ◽  
pp. 3112-3116
Author(s):  
Dong Liu ◽  
Quan Liu ◽  
Fen Chen ◽  
Qin Wei ◽  
Qing Song Ai
Keyword(s):  
Fault Diagnosis ◽  
Fiber Bragg Grating ◽  
Condition Monitoring ◽  
Online Monitoring ◽  
Fiber Bragg Grating Sensor ◽  
Bragg Grating ◽  
Diagnosis System ◽  
Aero Engine ◽  
Fault Diagnosis System ◽  
Bragg Grating Sensor

Aero-engine pipeline is the cardiovascular of aero-engine, which directly affects the safety and reliability of planes. However, the pipeline has complex structure and is easily broken by the harsh operation environment. Therefore, the condition monitoring and fault diagnosis of aero-engine pipeline play one of the most important role to ensure the aero-engine safe and reliable. Fiber Bragg Grating Sensor (FBGS) owns several characteristics, such as anti-electromagnetic interference, corrosion resistance, small size, performance stability, long lifecycle, as well as easy to constitute distributed multi-point system. In this paper, a condition monitoring and fault diagnosis system for aero-engine pipeline, including online monitoring and offline diagnosis, is proposed. Moreover, online monitoring based on temperature and strain signals and offline fault diagnosis based on simulated vibration signals of aero-engine pipeline are explained in details. According to the experimental results, the proposed system is useful and effective.

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