Results 161 to 170 of about 20,775 (227)
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Neural Computing and Applications, 2020
Timing belt rupture, which can develop quickly and cause severe harm to various engine components, usually occurs unexpectedly and without prior warning signs. Due to the rapid occurrence of timing belt rupture, fault diagnosis strategies are not indeed efficient.
Meghdad Khazaee +4 more
openaire +2 more sources
Timing belt rupture, which can develop quickly and cause severe harm to various engine components, usually occurs unexpectedly and without prior warning signs. Due to the rapid occurrence of timing belt rupture, fault diagnosis strategies are not indeed efficient.
Meghdad Khazaee +4 more
openaire +2 more sources
Multiclass classification for predicting Remaining Useful Life (RUL) of the turbofan engine
2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021For complex equipment and systems or their subsystems maintaining good health is very important. Several approaches were tried by the researchers applied by the industry professionals to predict the health of equipment, to take corrective measures. In this context, data analysis and machine learning are the latest tools that use historical data of ...
Piyush Soni +3 more
openaire +1 more source
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV, 2022
In modern industrial settings, the quality of maintenance efforts directly influence equipment’s operational uptime and efficiency. Condition monitoring is a common process employed for predicting the health of a technical asset, whereby a predictive maintenance strategy can be adopted to minimize machine downtime and potential losses.
Sürücü O +7 more
openaire +2 more sources
In modern industrial settings, the quality of maintenance efforts directly influence equipment’s operational uptime and efficiency. Condition monitoring is a common process employed for predicting the health of a technical asset, whereby a predictive maintenance strategy can be adopted to minimize machine downtime and potential losses.
Sürücü O +7 more
openaire +2 more sources
Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies
BatteriesLithium-ion (Li-ion) batteries have become essential in modern industries and domestic applications due to their high energy density and efficiency.
Mohamed Ahwiadi, Wilson Wang
semanticscholar +1 more source
A Remaining Useful Life Prediction Method for Rolling Bearing Based on TCN-Transformer
IEEE Transactions on Instrumentation and MeasurementPredicting the remaining useful life (RUL) of rolling bearings is crucial to ensure the stable operation of equipment. In recent years, predictive methodologies that leverage intelligent models have witnessed widespread development, significantly ...
Wei Cao +4 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement
Facilitated by artificial intelligence (AI) technologies such as deep learning (DL), predictive maintenance (PdM) has emerged as the most cost-effective maintenance approach for significantly enhancing the safety and availability of industrial equipment.
Jianghong Zhou +3 more
semanticscholar +1 more source
Facilitated by artificial intelligence (AI) technologies such as deep learning (DL), predictive maintenance (PdM) has emerged as the most cost-effective maintenance approach for significantly enhancing the safety and availability of industrial equipment.
Jianghong Zhou +3 more
semanticscholar +1 more source
2019 IEEE Conference on Big Data and Analytics (ICBDA), 2019
Today, modern industrial equipment is very complex as it involves sophisticated assets and systems. Thus, machine equipment optimization and safety have become operators' main concerns in the quest for maintaining optimum operational efficiency, asset availability, safety and cost-effective.
Muhammad Farhan Asyraf Mohd Fauzi +2 more
openaire +1 more source
Today, modern industrial equipment is very complex as it involves sophisticated assets and systems. Thus, machine equipment optimization and safety have become operators' main concerns in the quest for maintaining optimum operational efficiency, asset availability, safety and cost-effective.
Muhammad Farhan Asyraf Mohd Fauzi +2 more
openaire +1 more source
Scientific Reports
Lithium-ion batteries are widely used in many fields, and accurate prediction of their remaining useful life (RUL) was crucial for effective battery management and safety assurance.
Yibiao Fan +3 more
semanticscholar +1 more source
Lithium-ion batteries are widely used in many fields, and accurate prediction of their remaining useful life (RUL) was crucial for effective battery management and safety assurance.
Yibiao Fan +3 more
semanticscholar +1 more source
IEEE Sensors Journal
As mission-critical components in aircraft flap actuation systems, aerospace self-lubricating bearings play a pivotal role in ensuring operational safety during critical flight phases.
Yuheng Wang +5 more
semanticscholar +1 more source
As mission-critical components in aircraft flap actuation systems, aerospace self-lubricating bearings play a pivotal role in ensuring operational safety during critical flight phases.
Yuheng Wang +5 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics
Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy supply systems. In conventional data-driven RUL prediction approaches, the battery's degradation mechanism is difficult into incorporate in the RUL prediction.
Jiusi Zhang +6 more
semanticscholar +1 more source
Accurate remaining useful life (RUL) prediction of lithium-ion batteries is critical for energy supply systems. In conventional data-driven RUL prediction approaches, the battery's degradation mechanism is difficult into incorporate in the RUL prediction.
Jiusi Zhang +6 more
semanticscholar +1 more source