Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective

X Zhao, Y Fang, H Min, X Wu, W Wang… - Expert Systems with …, 2024 - Elsevier
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …

Critical wind turbine components prognostics: A comprehensive review

M Rezamand, M Kordestani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

Failure prognosis and applications—A survey of recent literature

M Kordestani, M Saif, ME Orchard… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Fault diagnosis and prognosis are some of the most crucial functionalities in complex and
safety-critical engineering systems, and particularly fault diagnosis, has been a subject of …

Wavelet packet decomposition-based multiscale CNN for fault diagnosis of wind turbine gearbox

D Huang, WA Zhang, F Guo, W Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents an intelligent fault diagnosis method for wind turbine (WT) gearbox by
using wavelet packet decomposition (WPD) and deep learning. Specifically, the vibration …

Degradation state partition and compound fault diagnosis of rolling bearing based on personalized multilabel learning

X Ma, Y Hu, M Wang, F Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The prognostic and health management (PHM) of rolling bearings has been a popular
research area. Since bearing fault is inevitable during degradation, how to improve the PHM …

A new hybrid fault detection method for wind turbine blades using recursive PCA and wavelet-based PDF

M Rezamand, M Kordestani, R Carriveau… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
This paper introduces a new condition monitoring approach for extracting fault signatures in
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …

A new method for fault detection of aero-engine based on isolation forest

H Wang, W Jiang, X Deng, J Geng - Measurement, 2021 - Elsevier
The research on fault detection of aero-engine is of great significance to its safe and reliable
operation. In this paper, a dynamic threshold method for aero-engine fault detection based …

An overview of the state of the art in aircraft prognostic and health management strategies

M Kordestani, ME Orchard… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Aircraft are complex engineering systems composed of many interconnected subsystems
with possible uncertainties in their structure. They often function for a long number of flight …

An integrated feature-based failure prognosis method for wind turbine bearings

M Rezamand, M Kordestani… - IEEE/ASME …, 2020 - ieeexplore.ieee.org
In North America, many utility-scale turbines are approaching the half-way point of their
anticipated initial lifespan. Accurate remaining useful life (RUL) estimation can provide wind …

A new fusion estimation method for multi-rate multi-sensor systems with missing measurements

M Kordestani, M Dehghani, B Moshiri, M Saif - Ieee Access, 2020 - ieeexplore.ieee.org
A new fusion strategy is introduced in this article to estimate state for multi-rate multi-sensor
systems with missing measurements. N sensors, which possess various sampling rates …