Results 31 to 40 of about 2,010,994 (219)

Dataset for identifying maintenance needs of home appliances using artificial intelligence

Data in Brief, 2023
The ability to predict the maintenance needs of machines is generating increasing interest in a wide range of industries as it contributes to diminishing machine downtime and costs while increasing efficiency when compared to traditional maintenance ...
Tiago Fonseca, Pedro Chaves, Luis Lino Ferreira, Nuno Gouveia, David Costa, André Oliveira, Jorge Landeck   +6 more
doaj   +1 more source

Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations

CoRR
In this document we perform a systematic review of the State-of-the-art in Predictive Maintenance (PdM) over the last five years in industrial settings such as commercial buildings, pharmaceutical facilities, or semi-conductor manufacturing. In general, data-driven methods such as those based on deep learning, exhibit higher accuracy than traditional ...
Kyle Hamilton, Muhammad Intizar Ali
openaire   +3 more sources

Machine Learning-Based Predictive Maintenance System for Artificial Yarn Machines

IEEE Access
Predictive maintenance (PdM) has become a critical strategy for improving the efficiency and reliability of industrial machinery. Integrating machine learning methods into a PdM system provides a promising solution for optimizing maintenance strategies ...
Telat Akyaz, Dilsad Engin
doaj   +1 more source

Problems and challenges of implementation of predictive maintenance from the perspective of aviation equipment support practices

Hangkong gongcheng jinzhan
Predictive maintenance（PdM）can improve the aviation equipment readiness in minimal cost，and PdM is also one key enabler to future concept of operation.
SONG Haifang, WANG Shijiao, LI Fan, LIU Jialin   +3 more
doaj   +1 more source

Predictive Maintenance in Pharma Manufacturing: Challenges and Strategic Directions

Engineering Proceedings
Predictive maintenance (PdM) has emerged as a critical enabler for improving reliability, operational efficiency, and regulatory compliance in pharmaceutical manufacturing.
Oumaima Manchadi, Fatima-Ezzahraa Ben-Bouazza, Aymane Edder, Idriss Tafala, Bassma Jioudi   +4 more
doaj   +1 more source

On the relevance of preprocessing in predictive maintenance for dynamic systems [PDF]

, 2018
The complexity involved in the process of real-time data-driven monitoring dynamic systems for predicted maintenance is usually huge. With more or less in-depth any data-driven approach is sensitive to data preprocessing, understood as any data treatment
Cernuda C., Carlos Cernuda, Cernuda, C.
core   +1 more source

Development and Usability Evaluation of VulcanH, a CMMS Prototype for Preventive and Predictive Maintenance of Mobile Mining Equipment

Mining
This paper details the design, development, and evaluation of VulcanH, a computerized maintenance management system (CMMS) specialized in preventive maintenance (PM) and predictive maintenance (PdM) management for underground mobile mining equipment ...
Simon Robatto Simard, Michel Gamache, Philippe Doyon-Poulin   +2 more
doaj   +1 more source

Improved Ensemble-Learning Algorithm for Predictive Maintenance in the Manufacturing Process

Applied Sciences, 2021
Industrial Internet of Things (IIoT) technologies comprise sensors, devices, networks, and applications from the edge to the cloud. Recent advances in data communication and application using IIoT have streamlined predictive maintenance (PdM) for ...
Yu-Hsin Hung
doaj   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source

A Predictive Maintenance System Design and Implementation for Intelligent Manufacturing

Machines, 2022
The importance of predictive maintenance (PdM) programs has been recognized across many industries. Seamless integration of the PdM program into today’s manufacturing execution systems requires a scalable and generic system design and a set of key ...
Eyup Cinar, Sena Kalay, Inci Saricicek
doaj   +1 more source