Nothing Special   »   [go: up one dir, main page]

Nopiahl et al., 2008 - Google Patents

Segmentation and scattering of fatigue time series data by kurtosis and root mean square

Nopiahl et al., 2008

View PDF
Document ID
11621745348233917313
Author
Nopiahl Z
Khairir M
Abdullah S
Mikhael W
Caballero A
Abatzoglou N
et al.
Publication year
Publication venue
WSEAS International Conference. Proceedings. Mathematics and Computers in Science and Engineering

External Links

Snippet

This paper presents the method of classifying and scattering of fatigue data by time series segmentation and segment-by-segment analysis of fatigue damage based on its relation with segmental kurtosis and root mean square (rms) values. The time series was segmented …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/89—Investigating the presence of flaws or contamination in moving material, e.g. running paper or textiles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
    • G01N15/02—Investigating particle size or size distribution
    • 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

Similar Documents

Publication Publication Date Title
US20170052060A1 (en) Method and system for automatically detecting faults in a rotating shaft
Tang et al. Feature extraction for latent fault detection and failure modes classification of board-level package under vibration loadings
Nopiahl et al. Segmentation and scattering of fatigue time series data by kurtosis and root mean square
Yi et al. On a prediction method for remaining useful life of rolling Bearings via VMD-based dispersion entropy and GAN
Li et al. Hierarchical dispersion Lempel–Ziv complexity for fault diagnosis of rolling bearing
Girault et al. Analytical formulation of the fractal dimension of filtered stochastic signals
Kuzio et al. Identification of fault frequency variation in the envelope spectrum in the vibration-based local damage detection in possible changing load/speed conditions
Nopiah et al. Peak-valley segmentation algorithm for fatigue time series data
Nopiah et al. Peak-valley segmentation algorithm for Kurtosis analysis and classification of fatigue time series data
Kumar et al. Damage Identification of Beam Structure Using Discrete wavelet transform
Nopiah et al. Abrupt changes detection in fatigue data using the cumulative sum method
Mhalsekar et al. Investigation on feasibility of recurrence quantification analysis for detecting flank wear in face milling
Nguyen et al. Improvements in the Wavelet Transform and Its Variations: Concepts and Applications in Diagnosing Gearbox in Non-Stationary Conditions
A Rahim et al. Relationship between time domain and frequency domain strain signal–Application to real data
Qiao et al. Identification of mining steel rope broken wires based on improved EEMD
Germán-Salló Entropy indices based fault detection
Lin et al. An acoustic emission identification model for train axle fatigue cracks based on deep belief network
Wang et al. Gear damage severity evaluation based on cross recurrence quantification analysis
Sun Frictional running-in status identification for ring-on-disc tribosystem by the visualization of friction-induced attractors
Mahmud et al. Damaging fatigue cycles determination for random service loadings using mixed Weibull analysis
Ali et al. Regression modeling for spur gear condition monitoring through oil film thickness based on acoustic emission signal
Nopiah et al. Running Damage Extraction (RDE) Technique on the Segmentation of Variable Amplitude Fatigue Loading Data
Quigley et al. Assessing Dirlik's Fatigue Damage Estimation Method for Automotive Applications
Nopiah et al. Running damage extraction technique for identifying fatigue damaging events
Mahmud et al. Determining Damaging Fatigue Cycles under Influence of Random Loadings using the Root-Mean-Square Level