This observer has been tested on a 3.7 kW generator and is presently being used to evaluate the short- and long-term effects of pulsed loading of electric machines.Ī third tool is a method of Distributed Heterogeneous Simulation (DHS) that provides a means to simulate the healthy and faulted behavior of large-scale systems at a speed and level of detail heretofore unachievable. Specifically, in applications where fault tolerance is critical, the sensor has been used to determine the position of the rotor of the machine when in-line or Hall-effect sensors fail.Ī second tool is a thermal-based health monitor for electric machines that effectively predicts the thermal behavior of stator, rotor, and winding structures based upon input from a minimal number of thermocouples and stator current sensors. In addition to providing vibration feedback, it has also been shown to be effective as a back-up position sensor. It provides a convenient means to detect faults of both electrical and mechanical components of electric drive systems and also facilitates feedback-based control to mitigate the vibration source through control of the excitation to a machine. This sensor has been used to detect torque-ripple-induced vibration created by electric machines. One of the tools is a vibration sensor that is low cost, durable, and relatively straightforward to implement in a drive system or power electronic module. In this presentation, a cadre of recently developed hardware and software tools for the prognostics and health-monitoring of electric generators, motors, power electronic components, and electric power systems will be presented. Walters, PC Krause and Associates, Inc Steve Peecher, Smiths Aerospace Sean A. Baudendistel, PC Krause and Associates, Inc Steve Pekarek, Mario Rotea, Purdue University E. Walters, Generator, Prognostics and Health Management, Publications, Tommy Baudendistel | 0 comments Posted by admin on in Distributed Heterogeneous Simulation, Eric A.
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