Results 41 to 50 of about 407,589 (204)

Location of leaks in pipelines using parameter identification tools [PDF]

, 2017
This work proposes an approach to locate leaks by identifying the parameters of finite models associated with these fault events. The identification problem is attacked by using well-known identification methods such as the Prediction Error Method and ...
Torres, L.
core  

Vestas V90-3MW Wind Turbine Gearbox Health Assessment Using a Vibration-Based Condition Monitoring System [PDF]

, 2016
Reliable monitoring for the early fault diagnosis of gearbox faults is of great concern for the wind industry.This paper presents a novel approach for health condition monitoring (CM) and fault diagnosis in wind turbine gearboxes using vibration analysis.
Gan, TH, Lage, Y, Romero, A, Soua, S, Wang, B   +4 more
core   +3 more sources

D-S Evidence Theory Based Comprehensive Identification Model for Cause of Grounding Fault in Distribution Network

Zhongguo dianli
Single-phase-to-ground fault (SPGF), being the most prevalent issue in distribution networks, significantly impacts the reliability and safety of the distribution system.
Yunpeng HU, Chenggang DU, Jun QI, Rihong ZHENG, Minfu A, Hao ZHANG, Yongliang LIANG   +6 more
doaj   +1 more source

Sequential fault diagnosis for mechatronics system using diagnostic hybrid bond graph and composite harmony search

Advances in Mechanical Engineering, 2015
This article proposes a sequential fault diagnosis method to handle asynchronous distinct faults using diagnostic hybrid bond graph and composite harmony search. The faults under consideration include fault mode, abrupt fault, and intermittent fault. The
Ming Yu, Juan Xu
doaj   +1 more source

Analysis of Weak Fault in Hydraulic System Based on Multi-scale Permutation Entropy of Fault-Sensitive Intrinsic Mode Function and Deep Belief Network

Entropy, 2019
With the aim of automatic recognition of weak faults in hydraulic systems, this paper proposes an identification method based on multi-scale permutation entropy feature extraction of fault-sensitive intrinsic mode function (IMF) and deep belief network ...
Jie Huang, Xinqing Wang, Dong Wang, Zhiwei Wang, Xia Hua   +4 more
doaj   +1 more source

Fast Real-Time RDFT- and GDFT-Based Direct Fault Diagnosis of Induction Motor Drive

Energies, 2022
This paper presents the theoretical analysis and experimental verification of a direct fault harmonic identification approach in a converter-fed electric drive for automated diagnosis purposes.
Piotr Kołodziejek, Daniel Wachowiak
doaj   +1 more source

Fsm-Based Enhanced March C- Algorithm For Memory Built-In Self-Test [PDF]

, 2017
Algorithms plays an important role in the Memory Built-In Self-Test as its structure will define the fault coverage of the system. Thus, the improvement of the algorithms will allow more fault types being identified in single test. For MARCH C- algorithm,
CH’NG , MING ZONG
core  

Ground fault identification and location of autotransformer traction network for high‐speed railway based on multi‐terminals synchronous measure information

IET Generation, Transmission & Distribution, 2023
With the rapid development of high‐speed railway, the auto‐transformer traction network (ATN) is also expanding. However, due to the improved performance of electric multiple units (EMUs) and the non‐linear relationship between impedance and ground fault
Shuai Wang, Qunzhan Li, Jiadong Han, Minwu Chen, Zhongrui Sun   +4 more
doaj   +1 more source

A Comparison of Inverse Simulation-Based Fault Detection in a Simple Robotic Rover with a Traditional Model-Based Method [PDF]

, 2017
Robotic rovers which are designed to work in extra-terrestrial environments present a unique challenge in terms of the reliability and availability of systems throughout the mission. Should some fault occur, with the nearest human potentially millions of
Flessa, Thaleia, Ireland, Murray L., Mackenzie, Rebecca, McGookin, Euan, Thomson, Douglas, Worrall, Kevin J.   +5 more
core   +1 more source

Fault recognition method of smart grid data acquisition system based on FNN and sequential DS fusion

Cognitive Computation and Systems, 2021
It is of significant practical importance to ensure the operational safety of the smart grid, which requires real‐time fault diagnosis and identifying what causes it based on an enormous amount of data.
Hanzhe Qiao, Quanbo Ge, Haoyu Jiang, Ziyi Li, Zilong You, Jianmin Zhang, Fengjuan Bi, Chunlei Yu   +7 more
doaj   +1 more source