State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

K Javed, R Gouriveau, N Zerhouni - Mechanical Systems and Signal …, 2017 - Elsevier
Integrating prognostics to a real application requires a certain maturity level and for this
reason there is a lack of success stories about development of a complete Prognostics and …

Scalability, explainability and performance of data-driven algorithms in predicting the remaining useful life: A comprehensive review

SB Ramezani, L Cummins, B Killen, R Carley… - Ieee …, 2023 - ieeexplore.ieee.org
Early detection of faulty patterns and timely scheduling of maintenance events can minimize
risk to the underlying processes and increase a system's lifespan, reliability, and availability …

[图书][B] From prognostics and health systems management to predictive maintenance 1: Monitoring and prognostics

R Gouriveau, K Medjaher, N Zerhouni - 2016 - books.google.com
This book addresses the steps needed to monitor health assessment systems and the
anticipation of their failures: choice and location of sensors, data acquisition and processing …

A new multivariate approach for prognostics based on extreme learning machine and fuzzy clustering

K Javed, R Gouriveau… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Prognostics is a core process of prognostics and health management (PHM) discipline, that
estimates the remaining useful life (RUL) of a degrading machinery to optimize its service …

Data-driven method for predicting remaining useful life of bearing based on Bayesian theory

T Gao, Y Li, X Huang, C Wang - Sensors, 2020 - mdpi.com
Bearings are some of the most critical industrial parts and are widely used in various types of
mechanical equipment. Bearing health status can have a significant impact on the overall …

RUL prediction based on a new similarity-instance based approach

R Khelif, S Malinowski… - 2014 IEEE 23rd …, 2014 - ieeexplore.ieee.org
Prognostics is a major activity of Condition-Based Maintenance (CBM) in many industrial
domains where safety, reliability and cost reduction are of high importance. The main …

Abrupt fault remaining useful life estimation using measurements from a reciprocating compressor valve failure

P Loukopoulos, G Zolkiewski, I Bennett… - … Systems and Signal …, 2019 - Elsevier
One of the major targets in industry is minimisation of downtime and cost, and maximisation
of availability and safety, with maintenance considered a key aspect in achieving this …

A robust and reliable data-driven prognostics approach based on extreme learning machine and fuzzy clustering

K Javed - 2014 - theses.hal.science
Prognostics and Health Management (PHM) aims at extending the life cycle of engineerin
gassets, while reducing exploitation and maintenance costs. For this reason, prognostics is …

Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements

P Loukopoulos, G Zolkiewski, I Bennett, S Sampath… - Applied Acoustics, 2019 - Elsevier
Reciprocating compressors are critical components in the oil and gas sector, though their
maintenance cost is known to be relatively high. Compressor valves are the weakest …

Data-driven approaches: Use of digitized operational data in process safety

Y Bai, S Xiang, Z Zhao, B Yang, J Zhao - Methods in Chemical Process …, 2022 - Elsevier
Process safety is playing an important role with the rapid development of industry. With the
advent of the Big Data era, various and massive data from the Internet of Things can be used …