CALCE has recently acquired a condition monitoring system consisting of mechanical and electrical elements with wireless data transmission. The main components of the system are:
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Machinery fault simulator
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Wireless 3-axis accelerometer
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Wireless sensor node
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Wireless gateway
Overview of the condition monitoring system
The SpectraQuest Machinery Fault Simulator, designed to simulate different faulty and healthy situations, is a rotary machine that represents a real-world machine on a smaller scale. By introducing defects in different components of the machinery fault simulator, various states of health of a rotary machine can be simulated, such as:
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Different types of bearing faults
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Unbalancing in a single plane, multiple planes, and overhung
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Misalignment in all three planes, both angular and parallel
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Belt tension and gearbox problems
Data collected from the machine in different operation scenarios (i.e., with different simulated faults) can be used to develop, train, and test models for diagnostic and prognostic purposes. Diagnostic models detect faults and prognostic models estimate the remaining useful life of a component.
Machinery fault simulator with the wireless accelerometer.
The wireless 3-axis accelerometer and the wireless sensor node collect data from the machine or surrounding physical environment. The collected data is acquired by the gateway wirelessly and stored in a computer. This system can also be used as a testbed for the development of mitigation strategies for data security threats.
Possible research applications of the system include:
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Prognostics and health management investigation of fault detection in machinery (diagnostics) and estimation of remaining useful life of components (prognostics) such as bearings, gears, shafts, motors, and other electromechanical elements.
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Generation of data from different machine health scenarios to train/test/develop diagnostic and prognostic models
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Simulation and investigation data security threats considering possible vulnerabilities in both software and hardware aspects of a system (e.g., hardware integrity threats introduced in sensing systems, adversarial manipulation of collected data)
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Demonstration of attacks related to data transmission (e.g., a man-in-the-middle attack), specifically, attacks related to wireless transmission of data
Please contact Dr. Michael Azarian for more information on the use and application of the tool and CALCE research on prognostics and health management.
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