An Imbalance Fault Detection Approach based on Differential Concordia Transform for Marine Current Turbine

Tao Xie, Tianzhen Wang
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Abstract

Marine current turbine (MCT) has gradually entered and contributed to world energy resources. However, MCT imbalance fault often occurs due to the blades are attached by marine biological growth or marine pollutants, and this imbalance fault will disorder the stator current or output power of generator. In this paper, a novel method based on Differential Concordia transform (DCT) for MCT imbalance fault detection is presented. The goal of this method is to provide a sensitive and robust fault indicator to detect the imbalance fault of MCT under wave and turbulence. The proposed method acquires the 3-phases stator current from the generator and using Concordia transform (CT). Then, reconstruct the Concordia transform components (CTC) to gain the Concordia transform modulus (CTM) and calculate differential to remove trend. Finally, the frequency spectral analysis is used to monitor the condition of blade. A 230-W prototype experimental study verified that the proposed method provides an effective fault indicator for MCT imbalance fault.
基于差分协和变换的船用水轮机不平衡故障检测方法
海流轮机(MCT)已逐渐进入世界能源领域,并为世界能源做出了贡献。然而,MCT不平衡故障往往是由于叶片附着海洋生物生长或海洋污染物而产生的,这种不平衡故障会使发电机定子电流或输出功率紊乱。提出了一种基于差分协和变换(DCT)的MCT不平衡故障检测方法。该方法旨在为MCT在波浪和湍流作用下的不平衡故障检测提供一个灵敏、鲁棒的故障指示器。该方法利用康科迪亚变换(Concordia transform, CT)获取发电机的三相定子电流。然后,重建Concordia变换分量(CTC),得到Concordia变换模量(CTM),计算微分去除趋势;最后,利用频谱分析对叶片状态进行监测。通过230-W样机实验研究,验证了该方法为MCT不平衡故障提供了有效的故障指示器。
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