Results 21 to 30 of about 39,327 (311)

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

Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer

, 2023
The reliability and safety of diesel engines gradually decrease with the increase in running time, leading to frequent failures. To address the problem that it is difficult for the traditional fault status identification methods to identify diesel engine
Yunbin Yan, Enzhi Dong, Zhonghua Cheng, Zichang Liu, Siyu Li, Rongcai Wang   +5 more
core   +1 more source

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

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

An identification scheme for robot actuator faults [PDF]

2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
We present a scheme for identifying the time profile of actuator faults that may affect a robot manipulator. Starting from our previous method for fault detection and isolation (FDI) based on generalized momenta, fault identification is additionally obtained through the H/sub /spl infin//-design of a state observer for uncertain systems.
DE LUCA, Alessandro, MATTONE R.
openaire   +2 more sources

Fault estimation and fault-tolerant control for discrete-time dynamic systems

, 2015
In this paper, a novel discrete-time estimator is proposed, which is employed for simultaneous estimation of system states, and actuator/sensor faults in a discrete-time dynamic system.
Gao, Zhiwei
core   +1 more source

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

Identification of methods with low fault risk [PDF]

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018
Test resources are usually limited and therefore it is often not possible to completely test an application before a release. Therefore, testers need to focus their activities on the relevant code regions. In this paper, we introduce an inverse defect prediction approach to identify methods that contain hardly any faults. We applied our approach to six
Rainer Niedermayr, Tobias Röhm, Stefan Wagner 0001   +2 more
openaire   +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