Results 51 to 60 of about 2,010,994 (219)

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

IEEE 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, Hao Luo, Yunong Yang, Peng Lv, Xinning Zhu, Yang Ji 0001, Bian Wu   +6 more
openaire   +3 more sources

Printed Integrated Logic Circuits Based on Chitosan‐Gated Organic Transistors for Future Edible Systems

Advanced Functional Materials, EarlyView.
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco, Valerio Francesco Annese, Valerio Galli, Ilaria Penna, Debora Russo, Marina Veronesi, Rita Scarpelli, Stefania Sabella, Mario Caironi   +8 more
wiley   +1 more source

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

ICT Express
Deploying deep learning models for predictive maintenance (PdM) is often constrained by high computational costs, limiting real-time industrial deployment.
Li Wang, Jun Kit Chaw, Mei Choo Ang, Xiang Cheng, Halimah Badioze Zaman, Saraswathy Shamini Gunasekaran, Moamin A. Mahmoud   +6 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

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced 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, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

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

Sustainable 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

Embeddings Based Parallel Stacked Autoencoder Approach for Dimensionality Reduction and Predictive Maintenance of Vehicles

, 2020
Predictive Maintenance (PdM) of automobiles requires the storage and analysis of large amounts of sensor data. This requirement can be challenging in deploying PdM algorithms onboard the vehicles due to limited storage and computational power on the ...
Ayodeji Ayibiowu, Reza Khoshkangini, Revanur, Vandan,, Ayibiowu, Ayodeji,, Vandan Revanur, Khoshkangini, Reza,, Mahmoud Rahat, Rahat, Mahmoud,   +7 more
core   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Selecting Suitable Candidates for Predictive Maintenance

International 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

A hybrid diagnostic system of main drive of industrial press line

Diagnostyka, 2021
Idea of Industry 4.0 indicate Condition Based Maintenance (CBM) and Predictive Maintenance (PdM) as fundamental maintenance strategies in modern factories.
Krzysztof Roczek, Marek Fidali, Tomasz Rogala, Adrian Krol   +3 more
doaj   +1 more source