A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for Reed Relay with Degradation Pattern Clustering

no code implementations • 14 Sep 2022 • Chinthaka Gamanayake, Yan Qin, Chau Yuen, Lahiru Jayasinghe, Dominique-Ea Tan, Jenny Low

To provide accurate remaining useful life (RUL) estimation for reed relay, a hybrid deep learning network with degradation pattern clustering is proposed based on the following three considerations.

Clustering

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images

no code implementations • 6 Aug 2020 • Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekara, Xuewen Zhang, Chia-wei Woo, Jenny Low, Xiang Liu

With some advanced algorithms, the new technologies are expected to control the production quality based on the digital images.

Defect Detection

Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications

no code implementations • 5 Mar 2020 • Chinthaka Gamanayake, Lahiru Jayasinghe, Benny Ng, Chau Yuen

Even though the Convolutional Neural Networks (CNN) has shown superior results in the field of computer vision, it is still a challenging task to implement computer vision algorithms in real-time at the edge, especially using a low-cost IoT device due to high memory consumption and computation complexities in a CNN.

Quantization