[HTML][HTML] 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 …
[HTML][HTML] Technology development and commercial applications of industrial fault diagnosis system: a review
C Liu, A Cichon, G Królczyk, Z Li - The International Journal of Advanced …, 2021 - Springer
Machinery will fail due to complex and tough working conditions. It is necessary to apply
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …
Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints
Modern systems are operating under dynamic environments and the components therein
often exhibit positively correlated lifetimes. Moreover, due to various practical reasons such …
often exhibit positively correlated lifetimes. Moreover, due to various practical reasons such …
Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence
The performance states of the manufacturing equipment and the quality states of the
manufactured products are important indicators for the operational state evaluation and …
manufactured products are important indicators for the operational state evaluation and …
Cross-domain open-set machinery fault diagnosis based on adversarial network with multiple auxiliary classifiers
Cross-domain fault diagnosis methods based on transfer learning attempt to leverage
knowledge from a domain with sufficient labeled samples to a different but related domain …
knowledge from a domain with sufficient labeled samples to a different but related domain …
Condition-based maintenance for a multi-component system in a dynamic operating environment
This paper develops a condition-based maintenance (CBM) model for a multi-component
system operating under a dynamic environment. The degradation process of each …
system operating under a dynamic environment. The degradation process of each …
Joint modeling of degradation and lifetime data for RUL prediction of deteriorating products
Degradation is one of the major root causes of system failure. In some applications, the
degradation levels are different upon failure, in which the fixed failure threshold assumption …
degradation levels are different upon failure, in which the fixed failure threshold assumption …
Collaborative online RUL prediction of multiple assets with analytically recursive Bayesian inference
By using in situ health information, many existing studies for online remaining useful life
(RUL) prediction adopt a stochastic process-based degradation model and a computation …
(RUL) prediction adopt a stochastic process-based degradation model and a computation …
Remaining useful life prediction for a roller in a hot strip mill based on deep recurrent neural networks
R Jiao, K Peng, J Dong - IEEE/CAA Journal of Automatica …, 2021 - ieeexplore.ieee.org
Accurate estimation of the remaining useful life (RUL) and health state for rollers is of great
significance to hot rolling production. It can provide decision support for roller management …
significance to hot rolling production. It can provide decision support for roller management …
Dynamic risk analysis of evolving scenarios in oil and gas separator
Risk assessment models in the oil and gas (O&G) industry has begun to transform from time-
static models like fault tree, event tree or bowtie to dynamic risk assessment (DRA) models …
static models like fault tree, event tree or bowtie to dynamic risk assessment (DRA) models …