Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
Applications of machine learning to the analysis of engine in-cylinder flow and thermal process: A review and outlook
F Zhao, DLS Hung - Applied Thermal Engineering, 2023 - Elsevier
To adequately elucidate the complex in-cylinder flow structures and its underlying effects on
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …
[HTML][HTML] Fault detection of offshore wind turbine drivetrains in different environmental conditions through optimal selection of vibration measurements
In this study, a vibration-based fault detection method is proposed for offshore wind turbine
drivetrain based on the optimal selection of the acceleration measurements. The main aim is …
drivetrain based on the optimal selection of the acceleration measurements. The main aim is …
Process monitoring and fault prediction of papermaking by learning from imperfect data
Z He, G Chen, M Hong, Q Xiong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Fault prediction is increasingly concerned in the industry due to complexity grows in the
production process. Paper break, the most common process fault of papermaking, risks …
production process. Paper break, the most common process fault of papermaking, risks …
Anomaly detection in automotive industry using clustering methods—a case study
MT Guerreiro, EMA Guerreiro, TM Barchi, J Biluca… - Applied Sciences, 2021 - mdpi.com
Featured Application Parts grouping “Clustering” by master data similarity on automotive
industry. Anomaly detection on material classification. Machine learning clustering …
industry. Anomaly detection on material classification. Machine learning clustering …
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data
Accurate and timely detection of boiler tube leakage in a thermal power plant is essential to
maintain a stable power supply and prevent catastrophic failures. This paper proposes a …
maintain a stable power supply and prevent catastrophic failures. This paper proposes a …
Data-driven approaches for impending fault detection of industrial systems: a review
A Patil, G Soni, A Prakash - … Journal of System Assurance Engineering and …, 2024 - Springer
Industrial systems operating under harsh and stochastic conditions are vulnerable to
anomalies that degrade its performance and subsequently lead to unexpected breakdown …
anomalies that degrade its performance and subsequently lead to unexpected breakdown …
Using data mining technology to explore causes of inaccurate reliability data and suggestions for maintenance management
Reliability data reflects equipment safety and provides a reference for setting inspection
period, thereby serving as crucial information for the implementation of equipment integrity …
period, thereby serving as crucial information for the implementation of equipment integrity …
Ensemble clustering-based fault diagnosis method incorporating traditional and deep representation features
The traditional and deep representation features have been successfully employed in the
clustering-based fault diagnosis, however, current studies have ignored their heterogeneity …
clustering-based fault diagnosis, however, current studies have ignored their heterogeneity …
A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data
Detecting leaks in natural gas gathering pipelines is paramount for the safe and reliable
operation of the gas and oil industry. Due to the lack of leak data and the changes in leak …
operation of the gas and oil industry. Due to the lack of leak data and the changes in leak …