Faults are natural for any practical system including photovoltaic (PV) power generation systems that need to be diagnosed accordingly to maximize its efficiency. However, faults can be rectified only if they are diagnosed correctly. Therefore, a credible and reliable diagnosis is required for maintenance of the system. In this paper, independent component analysis (ICA)‐based wireless fault diagnosis technique is proposed for solar PV systems. ICA enables us to communicate without having any prior information about the signals and the wireless channel. The proposed technique can diagnose faults related to electrical failures, climatic impacts, variable irradiance, and irregular cell temperature. Effectiveness of the proposed technique is evaluated through extensive simulations utilizing practical data.

中文翻译：

---

基于ICA的太阳能光伏故障诊断

故障对于任何实际系统都是自然的，包括光伏（PV）发电系统，需要对其进行诊断以使其效率最大化。但是，只有正确诊断故障后，才能纠正故障。因此，需要可靠和可靠的诊断来维护系统。本文针对太阳能光伏系统提出了一种基于独立成分分析（ICA）的无线故障诊断技术。ICA使我们能够进行通信，而无需任何有关信号和无线信道的先验信息。所提出的技术可以诊断与电气故障，气候影响，可变辐照度和不规则电池温度有关的故障。通过使用实际数据进行的广泛模拟，评估了所提出技术的有效性。