Data-driven methods for predictive maintenance of industrial equipment: A survey
W Zhang, D Yang, H Wang - IEEE systems journal, 2019 - ieeexplore.ieee.org
With the tremendous revival of artificial intelligence, predictive maintenance (PdM) based on
data-driven methods has become the most effective solution to address smart manufacturing …
data-driven methods has become the most effective solution to address smart manufacturing …
A survey of predictive maintenance: Systems, purposes and approaches
This paper provides a comprehensive literature review on Predictive Maintenance (PdM)
with emphasis on system architectures, purposes and approaches. In industry, any outages …
with emphasis on system architectures, purposes and approaches. In industry, any outages …
A systematic literature review of machine learning methods applied to predictive maintenance
TP Carvalho, FA Soares, R Vita, RP Francisco… - Computers & Industrial …, 2019 - Elsevier
The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …
the proliferation of sensing technologies. When processed and analyzed, data can bring out …
[HTML][HTML] A survey on data-driven predictive maintenance for the railway industry
In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems
MLH Souza, CA da Costa, G de Oliveira Ramos - Computers in Industry, 2023 - Elsevier
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …
evolving mechanization. In this context, maintenance management gains visibility because it …
A2-LSTM for predictive maintenance of industrial equipment based on machine learning
Predictive maintenance (PdM) is a prominent anomaly prediction strategy in the
manufacturing system given the increasing need to minimize downtime and economic …
manufacturing system given the increasing need to minimize downtime and economic …
[HTML][HTML] Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning
Abstract Predictive Maintenance (PdM) is one of the core innovations in recent years that
sparks interest in both research and industry. While researchers develop more and more …
sparks interest in both research and industry. While researchers develop more and more …
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
O Serradilla, E Zugasti, J Rodriguez, U Zurutuza - Applied Intelligence, 2022 - Springer
Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …
solutions have become popular for predictive maintenance (PdM) tasks, which involve …
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 …
Data-driven fault diagnostics and prognostics for predictive maintenance: A brief overview
G Xu, M Liu, J Wang, Y Ma, J Wang… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
Predictive Maintenance (PdM) is a maintenance strategy which predicts equipment failures
before they occur and then performs maintenance in advance to avoid the occurrence of …
before they occur and then performs maintenance in advance to avoid the occurrence of …