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 …

A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Mining

P Odeyar, DB Apel, R Hall, B Zon, K Skrzypkowski - Energies, 2022 - mdpi.com
To achieve a targeted production level in mining industries, all machine systems and their
subsystems must perform efficiently and be reliable during their lifetime. Implications of …

IoT in smart cities: A survey of technologies, practices and challenges

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

Digital twin and machine learning for decision support in thermal power plant with combustion engines

B Deon, KP Cotta, RFV Silva, CB Batista… - Knowledge-Based …, 2022 - Elsevier
The reliability and performance of the generating machines in a thermal power plant are
crucial to ensure agility and assertiveness in decision-making, maximize economic results …

Integrating preventive and predictive maintenance policies with system dynamics: A decision table approach

GB Yıldız, B Soylu - Advanced Engineering Informatics, 2023 - Elsevier
A decision table is a practical tool that helps systems planners to make operational
decisions, especially when they are under stress. With the effect of recent trends, such as the …

Applied machine learning for IIOT and smart production—Methods to improve production quality, safety and sustainability

A Frankó, G Hollósi, D Ficzere, P Varga - Sensors, 2022 - mdpi.com
Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders
at many levels much faster, with much greater granularity than ever before. When it comes to …

[PDF][PDF] A hybrid of convolutional neural network and long short-term memory network approach to predictive maintenance

A Nasser, H Al-Khazraji - International Journal of Electrical and …, 2022 - academia.edu
Predictive maintenance (PdM) is a successful strategy used to reduce cost by minimizing the
breakdown stoppages and production loss. The massive amount of data that results from the …

Predictive Maintenance in IoT: Early Fault Detection and Failure Prediction in Industrial Equipment.

R Atassi, F Alhosban - … of Intelligent Systems & Internet of …, 2023 - search.ebscohost.com
Abstract The Industrial Internet of Things (IoT) has ushered in a new era of predictive
maintenance, revolutionizing the way industries manage and maintain their critical …

A novel time series based Seq2Seq model for temperature prediction in firing furnace process

S Hwang, G Jeon, J Jeong, JY Lee - Procedia Computer Science, 2019 - Elsevier
It is important to maintain the temperature uniformly in the calcining process at the
manufacturing site. However, it is not easy to maintain a constant temperature. To predict the …

A state of the art survey of machine learning algorithms for IoT security

AF Jahwar, SRM Zeebaree - Asian Journal of …, 2021 - science.scholarsacademic.com
The Internet of Things (IoT) is a paradigm shift that enables billions of devices to connect to
the Internet. The IoT's diverse application domains, including smart cities, smart homes, and …