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| An Innovative Metric for Power Electronic Circuit Failure Evaluation and a Novel Prediction Method Based on LSSVM |
| Jiang Yuanyuan1, 2, Wang Youren1, Luo Hui1, Lin Hua1, Cui Jiang |
| 1. Nanjing University of Aeronautics and Astronautics Nanjing 210016 China 2. Anhui University of Science and Technology Huainan 232001 China |
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Abstract Currently, fault predictions of power electronic circuit mostly focus on components, and seldom consider the influences of working conditions such as electric network and load fluctuation. An innovative metric only related to the circuit fault for power electronic circuit failure evaluation, named relative shift of fault feature parameter, and a novel method of power electronic circuit fault prediction based on least squares support vector machine(LSSVM) are proposed according to this problem. Working condition time series and circuit parameters time series are predicted based on LSSVM. And then circuit parameters are calculated as the circuit under the predicted working condition is healthy. Thus, the failure evaluation metric is calculated based on the predicted circuit parameters and healthy circuit parameters under same working condition and the future circuit state can be judged finally. Simulation studies on Buck circuit show that the proposed method is feasible and effective.
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Received: 27 September 2011
Published: 20 March 2014
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2012, Vol. 27 
