BA Tama, M Vania, S Lee, S Lim - Artificial Intelligence Review, 2023 - Springer
Vibration measurement and monitoring are essential in a wide variety of applications. Vibration measurements are critical for diagnosing industrial machinery malfunctions …
S Yan, H Shao, Z Min, J Peng, B Cai, B Liu - Reliability Engineering & …, 2023 - Elsevier
Recent studies on machinery anomaly detection only based on normal data training models have yielded good results in improving operation reliability. However, most of the studies …
S Yan, H Shao, Y Xiao, B Liu, J Wan - Robotics and Computer-Integrated …, 2023 - Elsevier
Anomaly detection of machine tools plays a vital role in the machinery industry to sustain efficient operation and avoid catastrophic failures. Compared to traditional machine learning …
In recent years, the appearance of the broad learning system (BLS) is poised to revolutionize conventional artificial intelligence methods. It represents a step toward building …
S Shao, S McAleer, R Yan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural …
Y Ran, X Zhou, P Lin, Y Wen, R Deng - arXiv preprint arXiv:1912.07383, 2019 - arxiv.org
This paper provides a comprehensive literature review on Predictive Maintenance (PdM) with emphasis on system architectures, purposes and approaches. In industry, any outages …
X Li, Q Ding, JQ Sun - Reliability Engineering & System Safety, 2018 - Elsevier
Traditionally, system prognostics and health management (PHM) depends on sufficient prior knowledge of critical components degradation process in order to predict the remaining …
W Zhang, D Yang, H Wang - IEEE systems journal, 2019 - ieeexplore.ieee.org
With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on data-driven methods has become the most effective solution to address smart manufacturing …
Z Yang, B Xu, W Luo, F Chen - Measurement, 2022 - Elsevier
With the increase of the scale and complexity of mechanical equipment, traditional intelligent fault diagnosis (IFD) based on shallow machine learning methods is unable to meet the …