Results 121 to 130 of about 2,010,994 (219)

A Holistic Review of the TinyML Stack for Predictive Maintenance

IEEE Access
Downtime caused by failing equipment can be extremely costly for organizations. Predictive Maintenance (PdM), which uses data to predict when maintenance should be conducted, is an essential tool for increasing safety, maximizing uptime and minimizing ...
Emil Njor, Mohammad Amin Hasanpour, Jan Madsen, Xenofon Fafoutis   +3 more
doaj   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Aerospace predictive maintenance: fundamental concepts

, 2020
Aerospace Predictive Maintenance: Fundamental Concepts, written by longtime practitioner Charles E. Dibsdale based in the UK, considers PdM a subset of Condition Based Maintenance (CBM), and must obey the same underlying rules and pre-requisites that ...
Dibsdale C. E.
core  

Textile‐Based Capacitive Pressure Sensors Enabled by Ultrasonic Spray‐Coated Carbon Black Electrodes and Electrostatic Flocking

Advanced Materials Interfaces, EarlyView.
A 4‐layer Kevlar‐based composite is fabricated by combining ultrasonic spraying and electrostatic flocking. Carbon black dispersion is first deposited onto Kevlar fabric to create a conductive electrode. Nylon fibers are then electrostatically flocked onto the coated fabric, forming a dielectric layer.
Mengdi Chen, Hongxuan Li, Lei Shi, Fei Huang, Yuting Zhu, Wee Chen Gan, Swee Tiam Tan, Kean Aw   +7 more
wiley   +1 more source

Design of a smart predictive maintenance system for automotive components using MATLAB

The design of a longitudinal smart predictive maintenance system for automotive components using MATLAB is presented. Advantages of predictive maintenance are emphasized, while Remaining Useful Life (RUL) estimation, Prognostics and Health Management ...
Muhammad, Abubakar Dalhatu
core  

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

Advanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park, Dong Kwan Kang, Haejin Bae, Ho‐Sup Jung, Hoon Eui Jeong   +4 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Toward Autonomous LLM-Based AI Agents for Predictive Maintenance: State of the Art, Challenges, and Future Perspectives

Applied Sciences
Recent advances in Large Language Models (LLMs) enable agentic systems that combine perception, reasoning, and action across the enitre Predictive Maintenance (PdM) lifecycle, including machine fault diagnosis.
Luigi Gianpio Di Maggio
doaj   +1 more source

Synthetic Data Generation for Predictive Maintenance Services [PDF]

This study explores the potential of synthetic data generated through clustering and Generative AI (GenAI) techniques to enhance Predictive Maintenance (PdM) services.
Lowin, Maximilian, Mihale-Wilson, Cristina, Cordes, Anjana   +2 more
core  

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source