Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …
which aims to predict the remaining useful life (RUL) of machinery based on condition …
A review on lubricant condition monitoring information analysis for maintenance decision support
JM Wakiru, L Pintelon, PN Muchiri… - Mechanical systems and …, 2019 - Elsevier
Lubrication Condition monitoring (LCM) is not only utilized as an early warning system in
machinery but also, for fault diagnosis and prognosis under condition-based maintenance …
machinery but also, for fault diagnosis and prognosis under condition-based maintenance …
Bayesian degradation analysis with inverse Gaussian process models under time-varying degradation rates
Degradation observations of modern engineering systems, such as manufacturing systems,
turbine engines, and high-speed trains, often demonstrate various patterns of time-varying …
turbine engines, and high-speed trains, often demonstrate various patterns of time-varying …
Condition monitoring and remaining useful life prediction using degradation signals: Revisited
N Chen, KL Tsui - IiE Transactions, 2013 - Taylor & Francis
Condition monitoring is an important prognostic tool to determine the current operation
status of a system/device and to estimate the distribution of the remaining useful life. This …
status of a system/device and to estimate the distribution of the remaining useful life. This …
A novel operational approach to equipment maintenance: TPM and RCM jointly at work
M Braglia, D Castellano, M Gallo - journal of quality in maintenance …, 2019 - emerald.com
Purpose The purpose of this paper is to present a new operational approach to equipment
maintenance designed to exploit the complementary nature of total productive maintenance …
maintenance designed to exploit the complementary nature of total productive maintenance …
Evaluating maintenance policies by quantitative modeling and analysis
The growing importance of maintenance in the evolving industrial scenario and the
technological advancements of the recent years have yielded the development of modern …
technological advancements of the recent years have yielded the development of modern …
Comparative performance and emissions assessments of a single-cylinder diesel engine using artificial neural network and thermodynamic simulation
J Castresana, G Gabina, L Martin, Z Uriondo - Applied Thermal Engineering, 2021 - Elsevier
Diesel engine parameter prediction became a topic of interest in recent years, along with the
development of condition-based maintenance, and is now considered a key instrument for …
development of condition-based maintenance, and is now considered a key instrument for …
Exhaust-gas temperature model and prognostic feature for diesel engines
Prognostics is an enabler of predictive maintenance, which can improve reliability,
availability, and reduce the maintenance cost of high value assets. A novel prognostic …
availability, and reduce the maintenance cost of high value assets. A novel prognostic …
Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data
Y Pan, T Wu, Y **g, Z Han, Y Lei - Mechanical Systems and Signal …, 2023 - Elsevier
Insufficient data restrains the accuracy of the remaining useful life (RUL) prediction for
lubricating oil. For this problem, multi-indicator modeling can be an effective solution …
lubricating oil. For this problem, multi-indicator modeling can be an effective solution …
A survey of maintenance and service logistics management: Classification and research agenda from a maritime sector perspective
Maintenance and service logistics support are required to ensure high availability and
reliability for capital goods and typically represent a significant part of operating costs in …
reliability for capital goods and typically represent a significant part of operating costs in …