The benefits of predictive maintenance in manufacturing excellence: a case study to establish reliable methods for predicting failures

A Meddaoui, M Hain, A Hachmoud - The International Journal of …, 2023 - Springer
In the course of manufacturing excellence, decision makers are consistently confronted with
the task of making choices that will enhance and meet industrial plant's requirements. To this …

[HTML][HTML] A Vibration Analysis for the Evaluation of Fuel Rail Pressure and Mass Air Flow Sensors on a Diesel Engine: Strategies for Predictive Maintenance

C Mafla-Yépez, C Castejon, H Rubio, C Morales - Sensors, 2024 - mdpi.com
This research focuses on the analysis of vibration of a compression ignition engine (CIE),
specifically examining potential failures in the Fuel Rail Pressure (FRP) and Mass Air Flow …

Microaggregation-Based Defense Against Synonymous Linkages in IIoT Asset Tracking

AH Eyeleko, T Feng, Y Yan… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In the era of Industry 4.0, the proliferation of location-based services (LBS) and Industrial
Internet of Things (IIoT) asset tracking has revolutionized supply chains and smart …

Acoustic Signals Recovering for Rubbing From Arbitrarily Structured Noise With Joint Iterative Probabilistic Sampling

A Chen, Z Wu, D Li, D Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article aims to provide insights into a challenging rubbing signal-recovering problem
that arises when analyzing acoustic signals caused by rubbing in multirotor systems. Since …

[HTML][HTML] Predictive Maintenance of Pins in the ECD Equipment for Cu Deposition in the Semiconductor Industry

U Amato, A Antoniadis, I De Feis, D Fazio, C Genua… - Sensors, 2023 - mdpi.com
Nowadays, Predictive Maintenance is a mandatory tool to reduce the cost of production in
the semiconductor industry. This paper considers as a case study a critical part of the …

Advanced ML for predictive maintenance: a case study on remaining useful life prediction and reliability enhancement

A Meddaoui, A Hachmoud, M Hain - The International Journal of …, 2024 - Springer
In order to achieve an optimal system performance, decision makers are continually faced
with the responsibility of making choices that will enhance availability and reduce failures …

ODDformer: odd–even de-stationary and decomposition techniques transformer for aircraft engine remaining useful life prediction

S Yi, X Han, B Liang, G Huang… - Measurement Science and …, 2024 - iopscience.iop.org
In the aerospace industry, accurately predicting the remaining useful life (RUL) of aircraft
engines is critical to reduce maintenance costs and increase safety. Existing RUL prediction …

Development of a hybrid predictive maintenance model

J Wiercioch - Journal of KONBiN, 2023 - journalofkonbin.com
Progress in the field of technology and science enables the digitalization of manufacturing
processes in the era of Industry 4.0. For this purpose, it uses tools which are referred to as …

Role of Computer Vision (CV) in Manufacturing: Seeing Is Believing

A Nayak, I Satpathy, A Khang… - Machine Vision and …, 2025 - taylorfrancis.com
Computer vision (CV) methods have played an essential role in advancing industrial
production system informatization, digitalization, and intelligence. Developments in CV …

Indirect Condition Monitoring of the Transmission Belts in a Desalination Plant by Using Deep Learning

D Avila, GN Marichal, Y Cuba Arana… - International Workshop on …, 2023 - Springer
Condition monitoring is a basic technique in contemporary maintenance, since it can be
used to identify problems in equipment and machinery before catastrophic failures occur. In …