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In such conditions it is necessary to solve the identification problem (machinery monitoring) of the rough specified initial data (initial and boundary conditions), as well as parameters (permeability coefficients) of hydrodynamic models of reservoirs by historical data.
Two problems have to be further considered for long-term machinery monitoring: (1) How to deal with multi-change detection in long-term monitoring?
Detection of structural changes from an operational process is a major goal in machinery monitoring which enables to solve many practical problems ranging from early fault detection, safety protection as well as other process control problems.
Innovation is accelerating at an incredible pace in a variety of segments, such as digital health (patient monitoring), "invisibles" (connected pills, connected contact lenses) and augmented reality, as well as around the enterprise and the industrial Internet (with technologies for asset tracking, energy management and machinery monitoring).
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This paper describes the system design and its application in port-machinery monitoring.
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.
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.
Although the approach has its origins in the area of machinery condition monitoring it has applications in numerous other fields, such as lowering the bandwidth of frequency spectra within communication systems.
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