Decision making in predictive maintenance: Literature review and research agenda for industry 4.0
The emergence of Industry 4.0 has led to a wide use of sensors which have facilitated
manufacturing operations. Predictive maintenance has significantly benefited from these …
manufacturing operations. Predictive maintenance has significantly benefited from these …
Real-time integrated production-scheduling and maintenance-planning in a flexible job shop with machine deterioration and condition-based maintenance
The introduction of modern technologies in manufacturing is contributing to the emergence
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …
of smart (and data-driven) manufacturing systems, known as Industry 4.0. The benefits of …
A state of the art of predictive maintenance techniques
P Coandă, M Avram, V Constantin - IOP Conference Series …, 2020 - iopscience.iop.org
Nowadays in industry there is a great and increasing demand in resource management,
taking into consideration the ever-growing complexity of technical systems. The concept of …
taking into consideration the ever-growing complexity of technical systems. The concept of …
Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics
D Bumblauskas, D Gemmill, A Igou… - Expert systems with …, 2017 - Elsevier
The purpose of this article is to outline the architectural design and the conceptual
framework for a Smart Maintenance Decision Support System (SMDSS) based on corporate …
framework for a Smart Maintenance Decision Support System (SMDSS) based on corporate …
An industry 4.0-enabled low cost predictive maintenance approach for smes
E Sezer, D Romero, F Guedea… - … and Innovation (ICE …, 2018 - ieeexplore.ieee.org
This paper outlines the base concepts, materials and methods used to develop an Industry
4.0 architecture focused on predictive maintenance, while relying on low-cost principles to …
4.0 architecture focused on predictive maintenance, while relying on low-cost principles to …
A data-driven predictive maintenance framework for injection molding process
Injection molding is the most common process to produce a wide range of complex plastic
parts for many different applications, and a large number of machines and devices used in …
parts for many different applications, and a large number of machines and devices used in …
Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata
A Deloose, G Gysels, B De Baets, J Verwaeren - Computers in Industry, 2023 - Elsevier
Computerized maintenance management systems (CMMSs) contain valuable data on the
maintenance operations in an organization. A large part of these data consists of …
maintenance operations in an organization. A large part of these data consists of …
[HTML][HTML] Predictive maintenance for injection molding machines enabled by cognitive analytics for industry 4.0
V Rousopoulou, A Nizamis, T Vafeiadis… - Frontiers in Artificial …, 2020 - frontiersin.org
The exploitation of big volumes of data in Industry 4.0 and the increasing development of
cognitive systems, strongly facilitate the realm of predictive maintenance for real-time …
cognitive systems, strongly facilitate the realm of predictive maintenance for real-time …
Exploratory analysis of SCADA data from wind turbines using the K-means clustering algorithm for predictive maintenance purposes
Product maintenance costs throughout the product's lifetime can account for between 30–
60% of total operating costs, making it necessary to implement maintenance strategies. This …
60% of total operating costs, making it necessary to implement maintenance strategies. This …
Predictive maintenance on injection molds by generalized fault trees and anomaly detection
Predictive maintenance (PdM) plays a key role in the Industry since it allows optimization of
the schedule for proactive interventions and to take the maximum advantage of the useful …
the schedule for proactive interventions and to take the maximum advantage of the useful …