Challenges and opportunities of condition-based predictive maintenance: a review

N Sakib, T Wuest - Procedia cirp, 2018 - Elsevier
The concept of maintenance has advanced significantly over the last decades from a
reactive service activity towards a pro-active one with more C-level attention. Among them …

Machine learning-based predictive maintenance: A cost-oriented model for implementation

E Florian, F Sgarbossa, I Zennaro - International Journal of Production …, 2021 - Elsevier
Abstract Predictive Maintenance (PdM) is a condition-based maintenance strategy (CBM)
that carries out maintenance action when needed, avoiding unnecessary preventive actions …

A novel decision support system for managing predictive maintenance strategies based on machine learning approaches

S Arena, E Florian, I Zennaro, PF Orrù, F Sgarbossa - Safety science, 2022 - Elsevier
Nowadays, the industrial environment is characterised by growing competitiveness, short
response times, cost reduction and reliability of production to meet customer needs. Thus …

[HTML][HTML] Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

I de Pater, A Reijns, M Mitici - Reliability Engineering & System Safety, 2022 - Elsevier
The increasing availability of condition monitoring data for aircraft components has
incentivized the development of Remaining Useful Life (RUL) prognostics in the past years …

[HTML][HTML] Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components

I de Pater, M Mitici - Reliability Engineering & System Safety, 2021 - Elsevier
Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where
the use of sensor data and Remaining-Useful-Life prognostics are central. This paper …

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities

I Stanton, K Munir, A Ikram, M El‐Bakry - Systems Engineering, 2023 - Wiley Online Library
The increase in available data from sensors embedded in industrial equipment has led to a
recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive …

Knowledge representation and reuse model of civil aircraft structural maintenance cases

R Lin, H Wang, J Wang, N Wang - Expert Systems with Applications, 2023 - Elsevier
Maintenance cases outside the Structural Repair Manual (OSRM) often occur in civil aircraft
structural maintenance (CASM) work. At this time, maintenance personnel needs to learn …

On crack tip localisation in quasi-statically loaded, adhesively bonded double cantilever beam specimens by acoustic emission

RAA Lima, M Drobiazko, A Bernasconi… - Theoretical and Applied …, 2022 - Elsevier
The feasibility of acoustic emission structural health monitoring to detect, localise and
monitor crack propagation during quasi-static mode I loading of adhesively bonded joints …

Predictive maintenance-bridging artificial intelligence and IoT

GG Samatas, SS Moumgiakmas… - 2021 IEEE World AI …, 2021 - ieeexplore.ieee.org
This paper highlights the trends in the field of predictive maintenance with the use of
machine learning. With the continuous development of the Fourth Industrial Revolution …

Dynamic Predictive Maintenance in industry 4.0 based on real time information: Case study in automotive industries

B Einabadi, A Baboli, M Ebrahimi - IFAC-PapersOnLine, 2019 - Elsevier
In order to respond to today's dynamic needs of customers, customized mass production
systems have been more and more developed that, are facing with different challenges …