Results 21 to 30 of about 749 (240)

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

Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry

Sensors, 2022
The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to embrace the idea of Industry 4.0.
Xiang Cheng, Jun Kit Chaw, Kam Meng Goh, Tin Tin Ting, Shafrida Sahrani, Mohammad Nazir Ahmad, Rabiah Abdul Kadir, Mei Choo Ang   +7 more
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

Data-Driven Predictive Maintenance Policy Based on Dynamic Probability Distribution Prediction of Remaining Useful Life

Machines, 2023
As the reliability, availability, maintainability, and safety of industrial equipment have become crucial in the context of intelligent manufacturing, there are increasing expectations and requirements for maintenance policies.
Shulian Xie, Feng Xue, Weimin Zhang, Jiawei Zhu   +3 more
doaj   +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

Predictive maintenance approaches: A systematic literature review

Journal of Industrial Engineering and Management
Purpose: Predictive maintenance (PdM) aims to optimize maintenance operations by detecting operational anomalies and potential equipment failures before they lead to costly unplanned downtime.
Hicham Taoufyq, Kamal El Guemmat, Khalifa Mansouri, Fatiha Akef   +3 more
doaj   +1 more source

Predictive Maintenance on the Machining Process and Machine Tool

Applied Sciences, 2019
This paper presents the process required to implement a data driven Predictive Maintenance (PdM) not only in the machine decision making, but also in data acquisition and processing.
Alberto Jimenez-Cortadi, Itziar Irigoien, Fernando Boto, Basilio Sierra, German Rodriguez   +4 more
doaj   +1 more source

A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System

IEEE Access, 2021
Along with the number and the functional complexity of machines increase in the intelligent manufacturing system, the probability of faults will increase, which may lead to huge economic losses.
Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie   +3 more
doaj   +1 more source

Predictive maintenance (PdM) analysis matrix: A tool to determine technical specifications for PdM ready-equipment

IOP Conference Series: Materials Science and Engineering, 2019
Abstract Predictive maintenance (PdM) and operations optimisation are expected to generate the highest industrial and societal impact within the oil and gas industry. Such an optimistic expectation requires several changes in asset design and maintenance management.
openaire   +2 more sources

A Vascular Microphysiological Model of Lung Fibrosis Reveals That Myofibroblasts and IPF Patient‐Derived Fibroblasts Impair Angiogenesis and Vasculogenesis

Advanced Functional Materials, EarlyView.
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria, Adriana Blazeski, Eunkyung Clare Ko, Tran Thai, Shania Dantes, David A. Barbie, Sarah E. Shelton, Roger D. Kamm   +7 more
wiley   +1 more source