Predictive maintenance of pumps in civil infrastructure: State-of-the-art, challenges and future directions

SM Hallaji, Y Fang, BK Winfrey - Automation in Construction, 2022 - Elsevier
Predictive maintenance (PdM) is a technique that employs data-driven analysis to detect
anomalous working conditions and predict future failure risks of assets. Despite wide …

Graph-based meta-learning for context-aware sensor management in nonlinear safety-critical environments

CA O'Hara, T Yairi - Advanced Robotics, 2024 - Taylor & Francis
This study introduces a novel framework for optimizing energy efficiency and computational
load in safety-critical robotic systems operating in nonlinear domains. Leveraging Graph …

[PDF][PDF] Examining equipment condition monitoring for predictive maintenance, a case of typical process industry

RN Riantama, AD Prasanto, N Kurniati… - Proceedings of the 5th …, 2020 - ieomsociety.org
Maintenance of the production machine plays an important role to keep the production
process properly run. Improper maintenance may cause problems in production. Corrective …

[HTML][HTML] Improved Fault Detection and Diagnosis Using Graph Auto Encoder and Attention-based Graph Convolution Networks

P Brahmbhatt, R Patel, A Maheshwari… - Digital Chemical …, 2024 - Elsevier
A powerful fault detection and diagnosis (FDD) system plays a pivotal role in achieving
operational excellence by maximizing system performance, optimizing maintenance …

[PDF][PDF] Machine learning for predictive maintenance

D Kusumaningrum, N Kurniati… - Proceedings of the …, 2021 - ieomsociety.org
Downtime due to sudden machine failure will cause much loss to the company. To
overcome this, companies need to develop suitable maintenance strategy. Nowadays …

A smart predictive maintenance scheme for classifying diagnostic and prognostic statuses

RA Palembiya, MN Setiawan, EO Gultom… - Soft Computing in Data …, 2021 - Springer
This study attempts to propose a smart predictive maintenance method to classify
manufacturing machines' diagnostic and prognostic statuses. The main goal of this study is …

Raw Mill Engine Failure Detection from Transformer Gated Convolutional Unit Networks

BP Muliatama, I Mukhlash, M Iqbal… - … Conference on Data …, 2023 - ieeexplore.ieee.org
From the era of Industry 4.0, Internet-of-Things (IoT) technology has developed an industrial
maintenance strategy, namely Predictive Maintenance (PdM), to boost massive production …

[PDF][PDF] Penggunaan Machine Learning Untuk Predictive Maintenance (Studi Kasus: Pt. X)

D Kusumaningrum - 2021 - repository.its.ac.id
Pengolahan data berskala besar (big data analytics) menjadi sebuah kebutuhan khususnya
dalam melakukan prediksi kegagalan mesin dalam industri 4.0. Kegagalan tidak terencana …

[PDF][PDF] Predictive Maintenance (pdm) Rawmill Dan Kiln di Pt x

I Yasin - Surabaya: ITS, 2020 - repository.its.ac.id
ABSTRACT PT X is a company engaged in the cement manufacturing industry. The factory 5
unit owned by PT X is the newest factory and was inaugurated on February 19, 2014 …

Reducing unplanned downtime using Predictive Maintenance (PdM)

I Yasin, N Kurniati, B Syairudin - IOP Conference Series …, 2021 - iopscience.iop.org
Maintenance is one of the essential aspects that contribute to keep production process
continue to operate and reduce unplanned downtime. In the cement industry, especially kiln …