Framework for engineering systems health monitoring and fault diagnosis

2022 ◽  
pp. 189-211
Author(s):  
Gilberto Francisco Martha de Souza ◽  
Adherbal Caminada Netto ◽  
Arthur Henrique de Andrade Melani ◽  
Miguel Angelo de Carvalho Michalski ◽  
Renan Favarão da Silva
Keyword(s):  
Fault Diagnosis ◽  
Health Monitoring ◽  
Engineering Systems

Research on WSNs Topology and Application of Lightning Monitoring in Distribution Lines

2012 ◽  
Vol 433-440 ◽  
pp. 5573-5578
Author(s):  
Tie Liu Wang ◽  
Si Lei Shen ◽  
Jun Jie Wang
Keyword(s):  
Wireless Sensor Network ◽  
Fault Diagnosis ◽  
Sensor Network ◽  
Health Monitoring ◽  
Routing Protocol ◽  
Power Efficiency ◽  
Wireless Sensor ◽  
Environmental Sampling ◽  
Distribution Lines ◽  
Distribution Line

Wireless Sensor Network (WSN) is used for such tasks as surveillance, widespread environmental sampling, security, and health monitoring widely. In this paper, a WSNs topology is proposed for lightning monitoring of distribution lines, which decides the number of nodes, routing protocol and power efficiency. The WSNs is deployed along the distribution line with nodes mounted on tall towers, which is used to monitor the lightning activities and accomplish fault diagnosis. At last, a monitoring system based on WSN is fabricated.

Fast Fuel Variation and Identification of SOFC System Changes Using Online Health Monitoring Tools and Fault Diagnosis

2019 ◽  
Vol 91 (1) ◽  
pp. 753-759
Author(s):  
Vanja Subotic ◽  
Philipp Harter ◽  
Bernhard Stoeckl ◽  
Michael Preininger ◽  
Michails Kusnezoff ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Health Monitoring ◽  
Monitoring Tools ◽  
System Changes

VDM-Based Health Monitoring of Engineering Systems

2008 ◽  
pp. 37-103
Author(s):  
Przemysaw Koakowski ◽  
Andrzej wiercz ◽  
Anita Orowska ◽  
Marek Kokot ◽  
Jan Holnicki-Szulc
Keyword(s):  
Health Monitoring ◽  
Engineering Systems

A Multi-Agent Solution to Distributed Fault Diagnosis of Preheater Cement Cyclone

2016 ◽  
Vol 15 (04) ◽  
pp. 209-221 ◽  
Author(s):  
O. Chouhal ◽  
H. L. Mouss ◽  
K. Benaggoune ◽  
R. Mahdaoui
Keyword(s):  
Fault Diagnosis ◽  
Health Management ◽  
Engineering Systems ◽  
Distributed Approach ◽  
Development Framework ◽  
Diagnostic Agents ◽  
Spatially Distributed ◽  
Multi Agent ◽  
Systematic Solution ◽  
Diagnostic Agent

Systems health monitoring is essential to guaranteeing the safe, efficient, and reliable operation of engineering systems. Integrated systems health management methodologies include fault diagnosis mechanism. Diagnosis involves detecting when a fault has occurred, isolating the true fault, and identifying the true damage to the system. This important issue is even harder when the systems to be diagnosed are dynamic and spatially distributed systems with their successively increasing complexity. For such systems, a single diagnostic entity having a model of the whole system approach is inappropriate. Whereas a distributed approach of multiple diagnostic agents can offer a solution. An overall systematic solution for these issues could be obtained by an artificial intelligent mechanism called the multi-agent system (MAS). This paper presents a MAS model for fault diagnosis based on logical theory of diagnosis. In this approach, each local diagnostic agent has knowledge above its subsystem and an abstract view of the neighboring subsystems and it is able to determine the local minimal diagnoses that are consistent with global diagnoses. The multi-agent models are simulated in Java Agent Development Framework and are applied to the preheated cement cyclone in the workshop of SCIMAT clinker.

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