Hybrid fuzzy C-means and deep learning framework for intelligent fault classification in solar PV systems
Photovoltaic (PV) systems have proven themselves to be a viable alternative energy source; however, there are multiple faults related to PV systems which cause energy losses and low efficiencies. Manual or rule-based algorithms are traditionally used for fault diagnosis, which are not efficient and unsuitable for real-time applications. In this paper, a novel hybrid intelligent classification system for PV fault detection is proposed by integrating Fuzzy C-Means (FCM) clustering and Deep Learnin
Record details
Published: 23 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Healthcare · Environment
Retrieved: 25 July 2026
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ethics.ai (23 July 2026), “Hybrid fuzzy C-means and deep learning framework for intelligent fault classification in solar PV systems,” evidence record 13190, https://ethics.ai/record/13190 (originally published by Frontiers in Artificial Intelligence).
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