Results 101 to 110 of about 1,402 (277)

CNN-PDM: A Convolutional Neural Network Framework For Assets Predictive Maintenance [PDF]

, 2019
Nowadays, asset maintenance plays a vital role in companies and countries because if an asset breaks, it can cause long downtimes that may affect companies' production costs or the comfort level of building occupants. Predictive Maintenance (PdM) performs maintenance based on the asset's health status indicators.
openaire  

MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1
Predictive Maintenance (PDM) systems are essential for preemptive monitoring of sensor signals to detect potential machine component failures in industrial assets such as bearings in rotating machinery. Existing PDM systems face two primary challenges: 1) Irregular Signal Acquisition, where data collection from the sensors is intermittent, and 2 ...
Shuaicheng Zhang, Tuo Wang, Stephen Adams, Sanmitra Bhattacharya, Sunil Reddy Tiyyagura, Edward Bowen, Balaji Veeramani, Dawei Zhou   +7 more
openaire   +2 more sources

Predictive maintenance servitisation pathways

6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology AMEST 2024, 12-14 June 2024, Cagliari, ItalyThe competition within the manufacturing industry is becoming increasingly intense in the Industry 4.0 era.
Salonitis, Konstantinos, Milisavljevic-Syed, Jelena, Li, Jiahong   +2 more
core   +2 more sources

Machine Learning for Predictive Maintenance: A Multiple Classifiers Approach

, 2015
In this paper a multiple classifier machine learning methodology for Predictive Maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance issues given the increasing need to minimize downtime and associated costs.
Susto, Gian Antonio, McLoone, Seán; id_orcid, Beghi, Alessandro, Schirru, Andrea, Schirru A., Pampuri S., Pampuri, Simone, McLoone S.   +7 more
core   +1 more source

Neutron Reflectometry and Compression of Graded Hydrogel Surfaces

Advanced Materials Interfaces, EarlyView.
Highly‐entangled and covalently‐crosslinked hydrogels with thin and thick surface gel layers are compressed in neutron reflectometry experiments. Surface gel layer thickness dictates the extent to which the polymer network at the surface of a hydrogel collapses, while crosslinking chemistry, and therefore elastic modulus, impacts the pressure at which ...
Kathryn E. Shaffer, Alex Q. Zhang, Mehdi Karimi, Ahmed Al Kindi, Linnaea D. Uliassi, Nemea S. Courelli, Julia J. Ong, Conor D. Pugsley, Andrew R. Rhode, Erik B. Watkins, Rebecca J.L. Welbourn, Alexander Alexeev, Angela A. Pitenis   +12 more
wiley   +1 more source

A predictive maintenance system for hybrid degradation processes

, 2017
Purpose The purpose of this paper is to propose a predictive maintenance (PdM) system for hybrid degradation processes with continuous degradation and sudden damage to improve maintenance effectiveness.
Ming-Yi You
core   +1 more source

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

Advanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park, Dong Kwan Kang, Haejin Bae, Ho‐Sup Jung, Hoon Eui Jeong   +4 more
wiley   +1 more source

Explainable Predictive Maintenance

, 2023
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including data scientists, domain experts, end-users, and more.
Jamshidi, Samaneh, Nalepa, Grzegorz J., Sayed-Mouchaweh, Moamar, Davari, Narjes, Jakubowski, Jakub, Bobek, Szymon, Rajaoarisoa, Lala, Pashami, Sepideh, Alabdallah, Abdallah, Veloso, Bruno, Gama, João, Nowaczyk, Slawomir, Ribeiro, Rita P., Sarmadi, Hamid, Fan, Yuantao, Paiva, Nuno   +15 more
core   +1 more source

Deep Learning for predictive maintenance [PDF]

, 2023
Recently, with the appearance of Industry 4.0 (I4.0), machine learning (ML) within artificial intelligence (AI), industrial Internet of things (IIoT) and cyber-physical system (CPS) have accelerated the development of a data-orientated applications such ...
Remadna, Ikram
core  

Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

Advanced Materials Technologies, EarlyView.
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim   +8 more
wiley   +1 more source