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A thermal model of an electromechanical flywheel with a brushless DC machine is presented. Thermal analysis is particularly important during vacuum operation of the flywheel. Accurate prediction of temperature facilitates material selection, structural integrity and good performance. In addition, the choice of vacuum level, bearings, conductor sizes and system overload capability can be attributed...
The results of an electromechanical flywheel are presented to ascertain the considerations during the design stage. The design procedure is explained in brief. The considerations include, load profiling, mechanical and electrical aspects are discussed. This is essential in achieving the numerous advantages associated with the flywheel energy storage system. The results for low speed testing are presented...
The most popular methods of induction machine condition monitoring utilize the steady-state spectral components of the stator quantities. These stator spectral components can include voltage, current and power and are used to detect turn faults, broken rotor bars, bearing failures and air gap eccentricities. Presently, many techniques that are based on steady-state analysis are being applied to induction...
Fault diagnosis of electrical machines has primarily been focused on steady state operation of the machine due to the limitations in signal processing techniques. However, the advancement in this area has led to the development of a new class of algorithms which are time-frequency based signal processing techniques. In this paper we explore the concept of identifying faults by analyzing the transient...
Steady state analysis techniques (i.e. Motor Current Signature Analysis) cannot be applied to variable speed wind generators since their operation is predominately in the transient. A new non-stationary fault detection technique is proposed to detect inter-turn stator faults in doubly-fed wind generators. The technique is a combination of the extended Park's vector approach and a new adaptive algorithm...
Most condition monitoring techniques are based on steady state analysis. However, machines typically operate under transient conditions thus prompting the development of non-stationary fault detection techniques. In this paper, the steady state analysis technique (motor current signature analysis) is extended to a new non-stationary fault detection technique to detect several different faults in a...
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