Abstract Marine current turbines (MCTs) has progressively attracted wider interest from the industry and many research initiatives due to its potential as a novel world energy resource. However, several technological issues amongst others fault detection of MCT blades still require further progress for their successful implementation. Indeed, power generation is likely to progressively degrade due to blade faults and then causes disruptive disturbance when the marine current generator is connected to the grid. Fault detection of MCT blades still presents several challenges due to the complexity of the underwater environment. It appears that attachment like plankton or biofouling may have a considerable influence on the turbine blade as these may be triggering different imbalance faults. This survey reviews different blade fault types under the condition of wave and turbulence. We also review current blade fault detection methods, including multi-domain approaches. It appears from our study that built-in sensor-based fault detection methods, which use phase currents and voltages across the generator windings, provide several advantages for MCT blade fault detection. It also proposes several trends.

中文翻译：

---

海流涡轮叶片故障检测当前问题综述

摘要 海流涡轮机 (MCT) 由于其作为一种新型世界能源的潜力，逐渐引起了工业界和许多研究计划的广泛兴趣。然而，MCT 叶片的故障检测等几个技术问题仍然需要进一步的进展才能成功实施。实际上，由于叶片故障，发电量可能会逐渐降低，然后当海流发电机连接到电网时会导致破坏性干扰。由于水下环境的复杂性，MCT 叶片的故障检测仍然存在一些挑战。似乎浮游生物或生物污垢等附着物可能对涡轮叶片产生相当大的影响，因为它们可能会引发不同的不平衡故障。本次调查回顾了波浪和湍流条件下的不同叶片故障类型。我们还回顾了当前的叶片故障检测方法，包括多域方法。从我们的研究中可以看出，基于内置传感器的故障检测方法使用发电机绕组上的相电流和电压，为 MCT 叶片故障检测提供了几个优势。它还提出了几个趋势。