scholarly journals REMOTE MONITORING AND INTELLIGENT FAILURE DIAGNOSIS OF ROTATING MACHINERY USING THE B/S MODE

Author(s):  
Tadashi Kataoka ◽  
Tadahiko Kishikawa ◽  
Shigeru Sakata ◽  
Takahiro Nakagawa ◽  
Jun Ishiguro

This paper presents the implementation of failure detection and diagnosis, and predictive maintenance for a microturbine cogeneration system. It also introduces a remote monitoring system with capabilities for high-capacity high-speed data acquisition and storage, as well as data sharing via the Internet. Additionally, this paper provides failure diagnosis that uses high-speed transient data in order to determine the root cause of microturbine emergency shutdown or start failure, as well as failure prediction that uses long-range trend data in order to carry out the appropriate maintenance with some examples.


2012 ◽  
Vol 588-589 ◽  
pp. 178-184
Author(s):  
Jie Liu ◽  
Fang Xia Hu

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.


2011 ◽  
Vol 130-134 ◽  
pp. 2836-2840 ◽  
Author(s):  
Wu Chu Tang ◽  
Zhi Hui Shi ◽  
Da Li Kang

In this paper, a remote real-time online rotating machinery monitoring system, which was developed and tested in the Industrial application, is presented including its remote monitoring sub-system, fault diagnosis sub-system. First, the system architecture is introduced. Next, a web-based remote monitoring system is designed, which allows researches and engineers to remotely monitor the health of the machine from any remote geographic location through the Internet. Finally, the holographic spectrum technology in this system is discussed as well for the purpose of providing accurate and reliable diagnosis of the machine states and accident prevention.


2000 ◽  
Vol 66 (2) ◽  
pp. 256-260 ◽  
Author(s):  
Takayuki CHIBA ◽  
Tomoya NIHO ◽  
Peng CHEN ◽  
Toshio TOYOTA ◽  
Zhengjia HE ◽  
...  

2003 ◽  
Vol 2 (1) ◽  
pp. 128-129
Author(s):  
P SARMENTO ◽  
C FONSECA ◽  
F MARQUES ◽  
J NUNES ◽  
F CEIA

2008 ◽  
Vol 7 ◽  
pp. 155-156
Author(s):  
T KUMLER ◽  
G GISLASON ◽  
V KIRK ◽  
M BAY ◽  
O NIELSEN ◽  
...  

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