Results 31 to 40 of about 749 (240)

Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends

open access: yesApplied Sciences
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a breakdown takes place.
Aysegul Ucar   +2 more
doaj   +1 more source

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review [PDF]

open access: yesITM Web of Conferences
Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining methodologies ...
Chinthamu Narender   +5 more
doaj   +1 more source

A hybrid diagnostic system of main drive of industrial press line

open access: yesDiagnostyka, 2021
Idea of Industry 4.0 indicate Condition Based Maintenance (CBM) and Predictive Maintenance (PdM) as fundamental maintenance strategies in modern factories.
Krzysztof Roczek   +3 more
doaj   +1 more source

K-PdM: KPI-Oriented Machinery Deterioration Estimation Framework for Predictive Maintenance Using Cluster-Based Hidden Markov Model

open access: yesIEEE Access, 2018
Explosive increase of industrial data collected from sensors has brought increasing attractions to the data-driven predictive maintenance for industrial machines in cyber-physical systems (CPSs). Since machinery faults are always caused by performance deterioration of components, learning the deteriorating mode from observed sensor data facilitates the
Zhenyu Wu   +6 more
openaire   +2 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Contact Lens with Moiré Patterns for High‐Precision Eye Tracking

open access: yesAdvanced Functional Materials, EarlyView.
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin   +11 more
wiley   +1 more source

Optimization of Oil Production Using Sucker Rod Pumps via Predictive Elimination of Paraffin Issues

open access: yesApplied Sciences
This paper explores the application of predictive maintenance (PdM) to address paraffin deposition in sucker rod pump systems used for oil production.
Stevica Jankov   +6 more
doaj   +1 more source

Selecting Suitable Candidates for Predictive Maintenance

open access: yesInternational Journal of Prognostics and Health Management, 2018
Predictive maintenance (PdM) or Prognostics and Health Management (PHM) assists in better predicting the future state of physical assets and making timely and better-informed maintenance decisions.
W. W. Tiddens, A.J.J. Braaksma, T. Tinga
doaj   +1 more source

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson   +3 more
wiley   +1 more source

Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques [PDF]

open access: yesPeerJ Computer Science
Equipment downtime resulting from maintenance in various sectors around the globe has become a major concern. The effectiveness of conventional reactive maintenance methods in addressing interruptions and enhancing operational efficiency has become ...
Ida Hector, Rukmani Panjanathan
doaj   +2 more sources

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