Results 21 to 30 of about 407,589 (204)

Fault Data Detection of Traffic Detector Based on Wavelet Packet in the Residual Subspace Associated with PCA

Applied Sciences, 2019
To improve the accuracy and efficiency of fault data identification of traffic detectors is crucial in order to decrease the probability of unexpected failures of the intelligent transportation system (ITS).
Xiaolu Li, Xi Zhang, Peng Zhang, Guangyu Zhu   +3 more
doaj   +1 more source

Identification of Key Components of CNC Lathe Based on Dynamic Influence of Fault Propagation

Applied Sciences, 2022
Identifying the key components of CNC lathe and analyzing the fault propagation behavior is a powerful guarantee for the fault diagnosis and health maintenance of CNC lathe.
Lan Luan, Guixiang Shen, Yingzhi Zhang, Guiming Guo   +3 more
doaj   +1 more source

Fault-tolerant Control of Unmanned Underwater Vehicles with Continuous Faults: Simulations and Experiments

International Journal of Advanced Robotic Systems, 2009
A novel thruster fault diagnosis and accommodation method for open-frame underwater vehicles is presented in the paper. The proposed system consists of two units: a fault diagnosis unit and a fault accommodation unit. In the fault diagnosis unit an ICMAC
Qian Liu, Daqi Zhu
doaj   +1 more source

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

Entropy, 2018
A damage degree identification method based on high-order difference mathematical morphology gradient spectrum entropy (HMGSEDI) is proposed in this paper to solve the problem that fault signal of rolling bearings are weak and difficult to be ...
Huimin Zhao, Rui Yao, Ling Xu, Yu Yuan, Guangyu Li, Wu Deng   +5 more
doaj   +1 more source

Selection of sensors by a new methodology coupling a classification technique and entropy criteria [PDF]

, 2007
Complex industrial processes invest a lot of money in sensors and automation devices to monitor and supervise the process in order to guarantee the production quality and the plant and operators safety.
Cabassud, Michel, Elgue, Sébastien, Gourdon, Christophe, Kempowsky, Tatiana, Le Lann, Marie-Véronique, Orantes, Antonio, Prat, Laurent E.   +6 more
core   +2 more sources

Transmission line fault identification method based on weighted federated learning and multimodal residual network

International Journal of Electrical Power & Energy Systems
Although data-driven deep learning networks can be used for transmission line fault identification, the generalization performance of the algorithm will be seriously reduced in the face of “data islands” and class imbalance among fault samples in various
Jian Wang, Fengkai Lin, Dongliang Nan, Qi Zhao, Han Xue, Jinxin Ouyang   +5 more
doaj   +1 more source

Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]

, 2013
This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
LAMOUREUX, Benjamin, MASSÉ, Jean-Rémi, MECHBAL, Nazih   +2 more
core   +5 more sources

Distribution network fault comprehensive identification method based on voltage–ampere curves and deep ensemble learning

International Journal of Electrical Power & Energy Systems
To identify and locate faults of small-current grounded distribution networks under high-impedance fault with weak characteristics, a fault comprehensive identification method for distribution networks based on voltage-ampere curves and deep ensemble ...
Jian Wang, Bo Zhang, Dong Yin, Jinxin Ouyang   +3 more
doaj   +1 more source

Failure Identification of Dump Truck Suspension Based on an Average Correlation Stochastic Subspace Identification Algorithm

Applied Sciences, 2018
This paper proposes a fault identification method based on an improved stochastic subspace modal identification algorithm to achieve high-performance fault identification of dump truck suspension.
Bingwen Liu, Zhiyong Ji, Tie Wang, Zhenghao Tang, Guoxing Li   +4 more
doaj   +1 more source

Guaranteed Fault Detection and Isolation for Switched Affine Models

, 2017
This paper considers the problem of fault detection and isolation (FDI) for switched affine models. We first study the model invalidation problem and its application to guaranteed fault detection.
Harirchi, Farshad, Ozay, Necmiye, Yong, Sze Zheng   +2 more
core   +1 more source