Experimental Verification of Fault Identification for Overactuated System With a Scaled-Down Electric Vehicle
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Automotive Technology"
DOI: 10.1007/s12239-020-0098-4
Abstract: The experimental verification of the optimal input design method for fault identification is performed using a scaled-down overactuated electric vehicle. In the previous study, online fault identification was achieved by utilizing all the characteristics of… read more here.
Keywords: fault identification; fault; vehicle; experimental verification ... See more keywords
Application of multi-domain sparse features for fault identification of planetary gearbox
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2017.03.016
Abstract: Abstract Planetary gearboxes vibration signals are highly complex due to the intricate kinematics and the amplitude modulation and frequency modulation nature, and their spectra have intricate sidebands, leading to difficulty in planetary gearbox fault identification.… read more here.
Keywords: fault identification; planetary gearbox; identification; multi domain ... See more keywords
An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108514
Abstract: Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k)… read more here.
Keywords: fault identification; fault; mode decomposition; variational mode ... See more keywords
Performance enhancement and fault identification using Kalman filter in a resistive temperature sensor interface
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109836
Abstract: Abstract In recent times, smart resistive sensor interfaces are popular. A smart two-wire interface of Resistance Temperature Detector (RTD) with fault identification feature is proposed in this study. In this method, a constant floating current… read more here.
Keywords: fault identification; kalman filter; identification using; sensor ... See more keywords
A fault identification based on the parameter variation of apparent current
Sign Up to like & getrecommendations! Published in 2018 at "Petroleum Exploration and Development"
DOI: 10.1016/s1876-3804(18)30061-2
Abstract: Abstract A new fault identification method, which is called the apparent current method, based on the parameter variation of apparent current is proposed after the analysis of the limitations of the fault interpretation method for… read more here.
Keywords: fault identification; fault; method; apparent current ... See more keywords
Bandwidth Fourier decomposition and its application in incipient fault identification of rolling bearings
Sign Up to like & getrecommendations! Published in 2019 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ab4069
Abstract: Abstract：a#13; Incipient fault identification of rolling bearings is of great significance in avoiding the occurrence of malignant accidents in rotating machinery. However, the fault-related features at early stage are weak and easily contaminated by environmental… read more here.
Keywords: fault identification; incipient fault; decomposition; rolling bearings ... See more keywords
A Method for Constructing Automatic Rolling Bearing Fault Identification Model Based on Refined Composite Multi-Scale Dispersion Entropy
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3089251
Abstract: In this paper, one of most widely utilized rolling bearings in rotating machinery is selected as the research object. Automatic rolling bearing fault identification model including support vector machine (SVM) training module, fault classification knowledge… read more here.
Keywords: fault identification; method; rolling bearing; model ... See more keywords
Fault identification of Lithium-Ion Battery Pack for Electric Vehicle Based on GA Optimized ELM Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3147802
Abstract: The battery system is one of the core technologies of the new energy electric vehicle, so the frequent occurrence of safety accidents seriously limits the large-scale promotion and application. An innovative extreme learning machine optimized… read more here.
Keywords: battery; identification; electric vehicle; fault identification ... See more keywords
Board-Level Functional Fault Identification Using Streaming Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2020.3031865
Abstract: High integration densities and design complexity of printed-circuit boards make board-level functional fault identification extremely difficult. Machine learning provides an opportunity to identify functional faults with high accuracy and thereby reduce repair cost. However, the… read more here.
Keywords: level functional; fault identification; board level; functional fault ... See more keywords
A Vibration Signal-Based Method for Fault Identification and Classification in Hydraulic Axial Piston Pumps
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12050953
Abstract: In recent years, the interest of industry towards condition-based maintenance, substituting traditional time-based maintenance, is growing. Indeed, condition-based maintenance can increase the system uptime with a consequent economic advantage. In this paper, a solution to… read more here.
Keywords: piston pumps; axial piston; identification; fault identification ... See more keywords