scholarly journals Cost–Benefit Optimization of Structural Health Monitoring Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2174 ◽  
Author(s):  
Giovanni Capellari ◽  
Eleni Chatzi ◽  
Stefano Mariani
Keyword(s):  
Sensor Networks ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Cost Benefit ◽  
Structural Health

scholarly journals Optimal sensor and actuator placement for structural health monitoring via an efficient convex cost-benefit optimization

2020 ◽  
Vol 144 ◽  
pp. 106901 ◽  
Author(s):  
Sergio Cantero-Chinchilla ◽  
James L. Beck ◽  
Manuel Chiachío ◽  
Juan Chiachío ◽  
Dimitrios Chronopoulos ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Cost Benefit ◽  
Structural Health ◽  
Convex Cost ◽  
Actuator Placement

scholarly journals Structural Health Monitoring (SHM) of Machine Using a Combination of Non-Destructive Testing for Heavy Manufacturing Industry

2020 ◽  
Vol 184 ◽  
pp. 01059
Author(s):  
Ashish Khaira ◽  
Ravi. K. Dwivedi ◽  
Sanjay Jain
Keyword(s):  
Structural Health Monitoring ◽  
Condition Monitoring ◽  
Health Monitoring ◽  
Manufacturing Industry ◽  
Research Work ◽  
Cost Benefit ◽  
Life Cycles ◽  
Destructive Testing ◽  
Structural Health ◽  
Non Destructive

Markets are affected by assorted consumer requirements, which insist on superior quality, shorter delivery time, better customer support, and lower prices. Simultaneously, product life cycles are becoming shorter. Success relies on having either a cost-benefit or a value benefit, or, both in any competitive context. Therefore, non-destructive techniques (NDT) become vital but in the conventional system, the maintenance personnel has to visit the machine that consumes time and energy. In the present COVID-19 situation and to save energy and time, there is a necessity of making condition monitoring contactless as much as possible. Therefore, in this research work, a structural health monitoring analysis presented that covers: firstly, enlisting of the NDT infrastructure commonly available in heavy manufacturing industries; secondly, common causes and reasons of machine failures and finally, discusses need of embedded structural health monitoring (e-SHM) system with the combination of NDT in place of existing monitoring practice. The presented work suggested that a combination of NDT with e-SHM is better for timely fault detection to ensure effective condition monitoring.

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