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Machinery condition monitoring is a key step to perform condition-based maintenance (CBM) policy.
Machinery condition monitoring is rapidly finding applications in all branches of industry.
In the smart industry philosophy, continuous monitoring of the machinery condition is crucial to follow up the decision-making strategy.
Remote rotating machinery condition monitoring system based on wireless sensor networks (WSNs) is an attractive application recently.
One of the fundamental parameters that needs to be fed into a rotating machinery condition monitoring system is the rotational speed of shaft operating in the system.
With the fast development of electronics and wireless communication technologies in recent years, intelligent wireless sensor nodes are becoming increasingly popular in the online machinery condition monitoring systems.
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The results help engineers to optimize the design of micro-rotating machinery in MEMS, as well as to develop sensitive monitoring/diagnosis systems assessing machinery conditions.
Therefore this article gives an attempted concept of using an embedded approach in embedding sensors (agent hardware) for monitoring machinery conditions from the perspective view of vibration and temperature effects on machines performance.
Early assessment of machinery health condition is of paramount importance today.
Reactive oxygen species are formed as by-products of the electron transport machinery, during conditions of chronic inflammation and by exogenous stimuli such as ionizing radiation and various chemical oxidants (3).
Fumes from the stoves and the kitchen machinery worsened his condition, Mr. Chowdhury said.
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