Results 51 to 60 of about 1,402 (277)

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

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

Ultrasensitive Anti‐Stokes Luminescence Thermometry in Transition Metal Dichalcogenide Monolayers

open access: yesAdvanced Functional Materials, EarlyView.
We demonstrate a highly sensitive nanothermometer using anti‐Stokes photoluminescence, also known as photoluminescence upconversion (UPL), in monolayer tungsten disulfide. A strong resonantly enhanced UPL is observed, confirming the central role of optical phonons in the PL upconversion mechanism.
Sharada Nagarkar   +6 more
wiley   +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

Reduced Graphene Oxide Transparent Electrodes Enabling Compact Soft Tunable Lenses

open access: yesAdvanced Functional Materials, EarlyView.
By spray‐coating an elastomeric membrane with reduced graphene oxide (rGO) at various surface densities, elastomeric actuators are manufactured. Electro‐mechano‐optical characterizations show the suitability of rGO as an effective material for compliant, semi‐transparent electrodes, enabling soft electrically tunable lenses with a compact form factor ...
Giacomo Sasso   +4 more
wiley   +1 more source

A systematic review of knowledge distillation in industrial predictive maintenance: Applications, methods and challenges

open access: yesICT Express
Deploying deep learning models for predictive maintenance (PdM) is often constrained by high computational costs, limiting real-time industrial deployment.
Li Wang   +6 more
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

ML2MAS: a multi-agent reinforcement learning and BNNs-GAN integration framework for smart manufacturing optimization

open access: yesSustainable Operations and Computers
The rise of smart manufacturing, driven by advanced technological enablers, has transformed traditional production processes, creating new opportunities for operational efficiency and predictive maintenance (PdM).
Shadia Yahya Baroud, Nor Adnan Yahaya
doaj   +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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