Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

[HTML][HTML] Wind turbine drivetrains: state-of-the-art technologies and future development trends

AR Nejad, J Keller, Y Guo, S Sheng… - Wind Energy …, 2022 - wes.copernicus.org
This paper presents the state-of-the-art technologies and development trends of wind
turbine drivetrains–the system that converts kinetic energy of the wind to electrical energy–in …

Fleet-based early fault detection of wind turbine gearboxes using physics-informed deep learning based on cyclic spectral coherence

F Perez-Sanjines, C Peeters, T Verstraeten… - … Systems and Signal …, 2023 - Elsevier
The development of a reliable and automated condition monitoring methodology for the
detection of mechanical failures in rotating machinery has garnered much interest in recent …

Multi-harmonic phase demodulation method for instantaneous angular speed estimation using harmonic weighting

C Peeters, J Antoni, Q Leclère, T Verstraeten… - … Systems and Signal …, 2022 - Elsevier
Phase demodulation is arguably the most used technique for the estimation of the
instantaneous angular speed from vibration signals measured on rotating machinery …

Battery lifespan enhancement strategies for edge computing-enabled wireless Bluetooth mesh sensor network for structural health monitoring

M Abner, PKY Wong, JCP Cheng - Automation in Construction, 2022 - Elsevier
Wireless sensor networks (WSN) offer an automated, convenient, and low-cost option for
building IoT networks for monitoring the structural health of complex infrastructures. The …

Wind turbine drivetrain fault detection using multi-variate deep learning combined with signal processing

F Jamil, F Jara Avila, K Vratsinis… - … Expo: Power for …, 2023 - asmedigitalcollection.asme.org
The maintenance of wind turbines is essential to reduce wind energy levelized costs. Earlier
detection of potential faults in the rotating subcomponents, such as the drivetrain, helps to …

Sequential data-driven automatic calibration of wind turbine fault information in smart grids

L Zhu, Y Song - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In modern Internet of Things-enabled smart grids, while existing data-driven efforts have
made remarkable progress in wind turbine (WT) condition monitoring, the majority of them …

[图书][B] Gaining insights in loading events for wind turbine drivetrain prognostics

PJ Daems, Y Guo, S Sheng, C Peeters, P Guillaume… - 2020 - asmedigitalcollection.asme.org
Wind energy is one of the largest sources of renewable energy in the world. To further
reduce the operations and maintenance (O&M) costs of wind farms, it is essential to be able …

Early Fault Detection Using Deep Learning on Compressed Cyclic Spectral Coherence Maps

F Perez Sanjines, C Peeters… - … Expo: Power for …, 2023 - asmedigitalcollection.asme.org
Research nowadays takes advantage of the cyclostationary properties in the vibration
waveforms of rotating machines for fault detection. For example, cyclic spectral coherence …