Photovoltaic (PV) fault detection and classification are essential in maintaining the reliability
of the PV system (PVS). Various faults may occur in either DC or AC side of the PVS. The …

The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …

近年来, 基于深度学习的表面缺陷检测技术广泛应用在各种工业场景中. 本文对近年来基于深度
学习的表面缺陷检测方法进行了梳理, 根据数据标签的不同将其分为全监督学习模型方法 …

The rapid development of photovoltaic (PV) technology and the growing number and size of
PV power plants require increasingly efficient and intelligent health monitoring strategies to …

Over the last few decades, detecting surface defects has attracted significant attention as a
challenging task. There are specific classes of problems that can be solved using traditional …

Despite most existing anomaly detection studies assume the availability of normal training
samples only, a few labeled anomaly examples are often available in many real-world …

Photovoltaic (PV) has emerged as a promising and phenomenal renewable energy
technology in the recent past and the PV market has developed at an exponential rate …

Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

Automatic defect detection is gaining huge importance in photovoltaic (PV) field due to
limited application of manual/visual inspection and rising production quantities of PV …

The automatic defects detection for solar cell electroluminescence (EL) images is a
challenging task, due to the similarity of defect features and complex background features …