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Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations

CoRR
In this document we perform a systematic review of the State-of-the-art in Predictive Maintenance (PdM) over the last five years in industrial settings such as commercial buildings, pharmaceutical facilities, or semi-conductor manufacturing. In general, data-driven methods such as those based on deep learning, exhibit higher accuracy than traditional ...
Kyle Hamilton, Muhammad Intizar Ali
openaire   +2 more sources

Machine Learning-Based Predictive Maintenance System for Artificial Yarn Machines

IEEE Access
Predictive maintenance (PdM) has become a critical strategy for improving the efficiency and reliability of industrial machinery. Integrating machine learning methods into a PdM system provides a promising solution for optimizing maintenance strategies ...
Telat Akyaz, Dilsad Engin
doaj   +1 more source

Improved Ensemble-Learning Algorithm for Predictive Maintenance in the Manufacturing Process

Applied Sciences, 2021
Industrial Internet of Things (IIoT) technologies comprise sensors, devices, networks, and applications from the edge to the cloud. Recent advances in data communication and application using IIoT have streamlined predictive maintenance (PdM) for ...
Yu-Hsin Hung
doaj   +1 more source

Screening of Machine Learning Techniques on Predictive Maintenance: a Scoping Review

, 2023
Predictive maintenance (PdM) is a set of actions and techniques to early detect failures and defects on machines before they occur, and the usage of machine learning and deep learning techniques in predictive maintenance has increased during the last ...
Luque Sendra, Amalia, Mazzoleni, Mirko, Ferramosca, Antonio, Campos Olivares, Daniel, Carrasco Muñoz, Alejandro   +4 more
core   +1 more source

Problems and challenges of implementation of predictive maintenance from the perspective of aviation equipment support practices

Hangkong gongcheng jinzhan
Predictive maintenance（PdM）can improve the aviation equipment readiness in minimal cost，and PdM is also one key enabler to future concept of operation.
SONG Haifang, WANG Shijiao, LI Fan, LIU Jialin   +3 more
doaj   +1 more source

A Predictive Maintenance System Design and Implementation for Intelligent Manufacturing

Machines, 2022
The importance of predictive maintenance (PdM) programs has been recognized across many industries. Seamless integration of the PdM program into today’s manufacturing execution systems requires a scalable and generic system design and a set of key ...
Eyup Cinar, Sena Kalay, Inci Saricicek
doaj   +1 more source

Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of Vehicles

, 2020
Predictive Maintenance (PdM) of automobiles requires the storage and analysis of large amounts of sensor data. This requirement can be challenging in deploying PdM algorithms onboard the vehicles due to limited storage and computational power on the ...
Ayodeji Ayibiowu, Reza Khoshkangini, Revanur, Vandan,, Ayibiowu, Ayodeji,, Vandan Revanur, Khoshkangini, Reza,, Mahmoud Rahat, Rahat, Mahmoud,   +7 more
core   +1 more source

Predictive Maintenance in Pharma Manufacturing: Challenges and Strategic Directions

Engineering Proceedings
Predictive maintenance (PdM) has emerged as a critical enabler for improving reliability, operational efficiency, and regulatory compliance in pharmaceutical manufacturing.
Oumaima Manchadi, Fatima-Ezzahraa Ben-Bouazza, Aymane Edder, Idriss Tafala, Bassma Jioudi   +4 more
doaj   +1 more source

Development and Usability Evaluation of VulcanH, a CMMS Prototype for Preventive and Predictive Maintenance of Mobile Mining Equipment

Mining
This paper details the design, development, and evaluation of VulcanH, a computerized maintenance management system (CMMS) specialized in preventive maintenance (PM) and predictive maintenance (PdM) management for underground mobile mining equipment ...
Simon Robatto Simard, Michel Gamache, Philippe Doyon-Poulin   +2 more
doaj   +1 more source

Predictive Maintenance (PdM) menggunakan Active dan Semi-Supervised Machine Learning Pada Mesin Industri [PDF]

, 2021
Sejalan dengan kemajuan Industri 4.0 dengan peluang pemanfaatan sensor dan teknologi Machine Learning (ML), menjadikan praktik Predictive Maintenance (PdM) lebih mudah dilakukan.
Andriani, Adelina Zian
core