[PDF] Top 20 Gear fault diagnosis and classification using data vibration
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Gear fault diagnosis and classification using data vibration
... The classification confidence score indicates the degree to which the assigned class represents the input better than the other classes represent the ...high classification score between 99,057% and ... See full document
9
An Intelligent Gear Fault Diagnosis Model Based on EMD and Evolutionary Algorithms
... the gear may cause substantial economic losses. For this very reason, fault diagnosis in gears has been the subject of intensive ...the gear fault using vibration signal ... See full document
10
A Self-Evolving Fuzzy Classifier for Gear Fault Diagnosis
... fuzzy classification schemes have been proposed in literature for fault detection, their reasoning architecture remains fixed, allowing only the system parameters to be updated in pattern ... See full document
7
Diagnosis, classification and prognosis of rotating machine using artificial intelligence
... fault diagnosis. In [3] a fuzzy logic system was used to interpret vibration signal from motor ...of vibration signal, which input to fuzzy logic decision system make the fault diag- ... See full document
48
A Fault Diagnosis Scheme of Gear Vibration Signal Based on Variational Mode Decomposition and Detrended Fluctuation Analysis
... extract fault feature rather than evaluate the number of mode components of VMD, and then the main purpose in our work is the fault characteristics extraction, which is different from previous ...the ... See full document
14
A Novel Method for the Fault Diagnosis of a Planetary Gearbox based on Residual Sidebands from Modulation Signal Bispectrum Analysis
... the fault diagnosis of planetary gearboxes based on an accurate estimation of residual sidebands using a modulation signal bispectrum ...of vibration waves from asymmetrical multiple meshing ... See full document
8
Analysis of flank and root crack in the spur gear using vibration signal technique for single stage gear box
... The frequency domain methods include Fast Fourier Transform (FFT), Hilbert Transform Method and Power Cepstrum Analysis, etc. Frequency domain is the most popular approach for the diagnosis of gear faults. ... See full document
5
A Fault Diagnosis in Aluminium Honeycomb Structure using Vibration Technique & FEM Approach
... analyzed. Using accelerometer, dynamic responses data is collected and dynamic characteristics of the sandwich structure are extracted, from which the location & magnitude of the damage is ...procedure ... See full document
9
Feature Extraction and Diagnosis System Using Virtual Instrument Based on CI
... the vibration signal of gear box, which the sensor stick on, to test the dynamic characteristics of system and gear, however, with a large system noise, the characteristics of gear ... See full document
9
A Fault Feature Extraction Method for a Gearbox with a Composite Gear Train Based on EEMD and Translation-Invariant Multiwavelet Neighbouring Coefficients
... composite gear trains have been widely used in industrial production, it remains difficult to extract their fault signal features due to relatively complex vibration ...effective fault feature ... See full document
9
Methods and Systems for Fault Diagnosis in Nuclear Power Plants
... training data. In some applications, reliable training data are very scarce due to excessive expenses to label the data or technical difficulties to acquire the data in the first ... See full document
234
A Review on Fault Diagnosis of Ball Bearing Using Sound and Vibration Signals
... The instantaneous angular speed measurement takes advantage of the Pulse Timing Method and the kinematics of the device under monitoring. It requires counter/timer devices and a high frequency clock (80 MHz). The ... See full document
13
Bearing fault diagnosis based on vibration signals
... acquired data at a sampling rate of 62,500Hz so that frequency content can be investigated up to about 30 ...the data length for each test record is 960,000 and three such records were ... See full document
7
Vibration Based Gear Fault Diagnosis under Empirical Mode Decomposition and Power Spectrum Density Analysis
... damaged gear meshing ...the gear pair corresponding to transmission ...the gear pair ...the gear mesh frequency and its side ...shaft gear meshing and its frequency belongs to the ... See full document
9
Detection of Gear Fault Using Vibration Analysis
... Motor current signals can be obtained from the outputs of current transducers which are placed non intrusively on one of the power leads. The resulting raw current signals are acquired by computers after they go through ... See full document
9
Thermal Image Based Fault Diagnosis of Gears using Support Vector Machines
... of vibration-acoustic data, acquired from healthy and defective ...automatic fault diagnostic system based on features extracted from vibration signals and thermal ...image data is ... See full document
6
Gearbox Fault Diagnosis based on Vibration Signals Measured Remotely
... the vibration at a location far from the source for condition monitoring ...The vibration measured in this way inevitably has high distortions from the vibrations due to the effect of the attenuation of ... See full document
6
Gear Fault Diagnosis Based on Narrowband Demodulation with Frequency Shift and Spectrum Edit
... the vibration feature extraction of gear localized faults for rotating machinery under varying speed conditions, an improved narrowband demodulation method with spectrum edit and frequency shift is proposed ... See full document
12
Industrial Water Pump Condition Monitoring by Using Time Signal Analysis and Fault Probability Distribution
... to vibration transducers [1]. Vibration characteristics can be distinctively divided into two types: forced vibration and free ...forced vibration relates to problems such as misalignment and ... See full document
6
ARTIFICIAL NEURAL NETWORK BASED INTELLIGENT FAULT IDENTIFICATION OF ROTATING MACHINERY
... intelligent diagnosis is carried out when known inputs are fed into black boxes which subsequently produce outputs in accordance with machine ...appropriate data to a neural ...this data so that it ... See full document
14
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