Predictive maintenance of pumps in civil infrastructure: State-of-the-art, challenges and future directions
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 …
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
This study introduces a novel framework for optimizing energy efficiency and computational
load in safety-critical robotic systems operating in nonlinear domains. Leveraging Graph …
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 …
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
A powerful fault detection and diagnosis (FDD) system plays a pivotal role in achieving
operational excellence by maximizing system performance, optimizing maintenance …
operational excellence by maximizing system performance, optimizing maintenance …
[PDF][PDF] Machine learning for predictive maintenance
Downtime due to sudden machine failure will cause much loss to the company. To
overcome this, companies need to develop suitable maintenance strategy. Nowadays …
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 …
manufacturing machines' diagnostic and prognostic statuses. The main goal of this study is …
Raw Mill Engine Failure Detection from Transformer Gated Convolutional Unit Networks
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 …
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 …
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 …
unit owned by PT X is the newest factory and was inaugurated on February 19, 2014 …
Reducing unplanned downtime using Predictive Maintenance (PdM)
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 …
continue to operate and reduce unplanned downtime. In the cement industry, especially kiln …