Jamadar et al., 2023 - Google Patents
Spur Gear Fault Detection Using Design of Experiments and Support Vector Machine (SVM) AlgorithmJamadar et al., 2023
- Document ID
- 10522886088411865896
- Author
- Jamadar I
- Nithin R
- Nagashree S
- Prasad V
- Preetham M
- Samal P
- Singh S
- Publication year
- Publication venue
- Journal of Failure Analysis and Prevention
External Links
Snippet
In this research, the primary objective is to ensure the appropriate functioning of transmission components, particularly the gearbox, which is highly prone to wear due to carrying the load directly. Condition monitoring and predictive maintenance of the gearbox …
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/02—Testing of gearing or of transmission mechanisms
- G01M13/021—Testing of gearing or of transmission mechanisms of gearings
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Testing of bearings
- G01M13/045—Testing of bearings by acoustic or vibration analysis
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/26—Investigating or analysing materials by specific methods not covered by the preceding groups oils; viscous liquids; paints; inks
- G01N33/28—Oils, i.e. hydrocarbon liquids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/04—Testing of internal-combustion engines, e.g. diagnostic testing of piston engines
- G01M15/12—Testing of internal-combustion engines, e.g. diagnostic testing of piston engines by monitoring vibrations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
Similar Documents
Publication | Publication Date | Title |
---|---|---|
de Azevedo et al. | A review of wind turbine bearing condition monitoring: State of the art and challenges | |
Jayaswal et al. | Machine fault signature analysis | |
Feng et al. | A novel similarity-based status characterization methodology for gear surface wear propagation monitoring | |
Goyal et al. | Intelligent predictive maintenance of dynamic systems using condition monitoring and signal processing techniques—a review | |
Monkova et al. | Condition monitoring of Kaplan turbine bearings using vibro-diagnostics | |
Dhamande et al. | Detection of combined gear-bearing fault in single stage spur gear box using artificial neural network | |
Cao et al. | Deterioration state diagnosis and wear evolution evaluation of planetary gearbox using vibration and wear debris analysis | |
Zhang et al. | A benchmark of measurement approaches to track the natural evolution of spall severity in rolling element bearings | |
Kirankumar et al. | Review on Condition Monitoring of Bearings using vibration analysis techniques. | |
Sassi et al. | Tracking surface degradation of ball bearings by means of new time domain scalar indicators | |
Jamadar et al. | Spur Gear Fault Detection Using Design of Experiments and Support Vector Machine (SVM) Algorithm | |
Cheng et al. | Quantitative damage detection for planetary gear sets based on physical models | |
Yousaf et al. | Review of Advanced Approaches and Vibration Signature Analysis for Fault Detection, Diagnosis, and Prognosis of Rolling Element Bearings | |
Li et al. | On-line fault detection in wind turbine transmission system using adaptive filter and robust statistical features | |
Elforjani | Condition monitoring of slow speed rotating machinery using acoustic emission technology | |
Leaman | A review on acoustic emissions of gear transmissions: source, influencing parameters, applications and modeling | |
Nacib et al. | A comparative study of various methods of gear faults diagnosis | |
Bhende et al. | Comprehensive bearing condition monitoring algorithm for incipient fault detection using acoustic emission | |
Chavan et al. | A review on development and trend of condition monitoring and fault diagnosis | |
Alkhadafe et al. | Optimising sensor location for an enhanced gearbox condition monitoring system | |
Gangwar et al. | Machine learning based progressive crack fault monitoring on spur gear using vibration analysis | |
Dworakowski et al. | A novelty detection approach to monitoring of epicyclic gearbox health | |
Kalkat | Investigations on the effect of oil quality on gearboxes using neural network predictors | |
Samuel et al. | Survey of Gear Fault Diagnosis Using Various Statistical Signals Parameters | |
Zhong et al. | Research of condition monitoring and fault diagnosis techniques for wind turbine gearbox |