Results 281 to 290 of about 8,942,242 (366)
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Measurement science and technology, 2023
Intelligent health maintenance of bearings usually consists of two stages: constructing effective health assessment indicators and accurate remaining useful life prediction models.
Y. Sheng, Huanyu Liu, Junbao Li
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Intelligent health maintenance of bearings usually consists of two stages: constructing effective health assessment indicators and accurate remaining useful life prediction models.
Y. Sheng, Huanyu Liu, Junbao Li
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Dual-Thread Gated Recurrent Unit for Gear Remaining Useful Life Prediction
IEEE Transactions on Industrial Informatics, 2023Remaining useful life (RUL) prediction can provide a foundation for the operation and maintenance of industrial equipment. In order to improve the predictive ability for the complex degradation trajectory, a new dual-thread gated recurrent unit (DTGRU ...
Jianghong Zhou +4 more
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Predictive Sequential Life Testing
Biometrika, 1978Sequential tests that are based on some unobservable parameter have been well investigated using both classical and Bayesian approaches; see, for example, Wald (1947) and Barnett (1972). In this paper we use the Bayesian predictive density function to constuct a sequential test that is based on some statistic of a future sample, and investigate the ...
Bancroft, G. A., Dunsmore, I. R.
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Artificial neural network-based shelf life prediction approach in the food storage process: A review
Critical reviews in food science and nutrition, 2023The prediction of food shelf life has become a vital tool for distributors and consumers, enabling them to determine storage and optimal edible time, thus avoiding unexpected food waste.
Ce Shi +6 more
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Quality and Reliability Engineering International, 2023
This paper constructs a remaining useful life (RUL) prediction model combining a convolutional neural network and a long short‐term memory network (CNNLSTM) to support decision‐making, especially the safety of rotational equipment.
G. Jiang +3 more
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This paper constructs a remaining useful life (RUL) prediction model combining a convolutional neural network and a long short‐term memory network (CNNLSTM) to support decision‐making, especially the safety of rotational equipment.
G. Jiang +3 more
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IEEE/ASME transactions on mechatronics, 2022
Nowadays, transfer learning and domain adaptation are widely used in prognostics and health management of rotating machinery, greatly broadening its applications in scenarios with multiple operating conditions.
Yifei Ding +4 more
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Nowadays, transfer learning and domain adaptation are widely used in prognostics and health management of rotating machinery, greatly broadening its applications in scenarios with multiple operating conditions.
Yifei Ding +4 more
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IEEE Transactions on Industrial Informatics, 2022
A milling cutter is one of the most important parts of machine tools. Its working status significantly influences the precision of workpiece. Due to the complex wear mechanism, the single sensor may be difficult to acquire the complete degradation ...
Liang Guo +4 more
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A milling cutter is one of the most important parts of machine tools. Its working status significantly influences the precision of workpiece. Due to the complex wear mechanism, the single sensor may be difficult to acquire the complete degradation ...
Liang Guo +4 more
semanticscholar +1 more source
ECS Meeting Abstracts, 2006
Abstract not Available.
Bor Yann Liaw, Matthieu Dubarry
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Abstract not Available.
Bor Yann Liaw, Matthieu Dubarry
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Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction
IEEE Transactions on Instrumentation and Measurement, 2022In industry, prognostics and health management (PHM) is used to improve the system reliability and efficiency. In PHM, remaining useful life (RUL) prediction plays a key role in preventing machine failure and reducing operation cost.
Ruibing Jin +5 more
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IEEE transactions on power electronics, 2022
Lithium-ion batteries offer excellent advantages of high efficiency, small size, and low cost, but their instability and inconformity remain challenging.
Jianguo Wang +4 more
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Lithium-ion batteries offer excellent advantages of high efficiency, small size, and low cost, but their instability and inconformity remain challenging.
Jianguo Wang +4 more
semanticscholar +1 more source