Machine learning for reliability engineering and safety applications: Review of current status and future opportunities
Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …
industries. Its impact is profound, and several fields have been fundamentally altered by it …
A comprehensive review on convolutional neural network in machine fault diagnosis
With the rapid development of manufacturing industry, machine fault diagnosis has become
increasingly significant to ensure safe equipment operation and production. Consequently …
increasingly significant to ensure safe equipment operation and production. Consequently …
[PDF][PDF] XJTU-SY 滚动轴承加速寿命试验数据集解读
雷亚国， 韩天宇， 王彪， 李乃鹏， 闫涛， 杨军 - 机械工程学报, 2019 - qikan.cmes.org
预测与健康管理对保障机械装备安全服役, 提高生产效率, 增加经济效益至关重要.
高质量的全寿命周期数据是预测与健康管理领域的基础性资源, 这些数据承载着反映装备服役 …
高质量的全寿命周期数据是预测与健康管理领域的基础性资源, 这些数据承载着反映装备服役 …
Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism
Prediction of remaining useful life (RUL) is of vital significance in the prognostics health
management (PHM) tasks. To deal with the reverse time series and to reflect the difference …
management (PHM) tasks. To deal with the reverse time series and to reflect the difference …
A prognostic driven predictive maintenance framework based on Bayesian deep learning
Recent years have witnessed prominent advances in predictive maintenance (PdM) for
complex industrial systems. However, the existing PdM literature predominately separates …
complex industrial systems. However, the existing PdM literature predominately separates …
An integrated multi-head dual sparse self-attention network for remaining useful life prediction
Committed to accident prevention, prediction of remaining useful life (RUL) plays a crucial
role in prognostics health management technology. Conventional convolutional neural …
role in prognostics health management technology. Conventional convolutional neural …
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
L Liu, X Song, Z Zhou - Reliability Engineering & System Safety, 2022 - Elsevier
Remaining useful life (RUL) estimation has been intensively studied, given its important role
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
in prognostics and health management (PHM) of industry. Recently, data-driven structures …
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
Y Zhang, Y Xin, Z Liu, M Chi, G Ma - Reliability Engineering & System …, 2022 - Elsevier
Prognostics and health management (PHM) is a critical work to ensure the reliable operation
of industrial equipment, in which health status (HS) assessment and remaining useful life …
of industrial equipment, in which health status (HS) assessment and remaining useful life …
A dual-LSTM framework combining change point detection and remaining useful life prediction
Abstract Remaining Useful Life (RUL) prediction is a key task of Condition-based
Maintenance (CBM). The massive data collected from multiple sensors enables monitoring …
Maintenance (CBM). The massive data collected from multiple sensors enables monitoring …
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Most supervised learning-based approaches follow the assumptions that offline data and
online data must obey a similar distribution, which is difficult to satisfy in realistic remaining …
online data must obey a similar distribution, which is difficult to satisfy in realistic remaining …