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Fang et al., 2018 - Google Patents

Comparison of EMD and EEMD in rolling bearing fault signal analysis

Fang et al., 2018

Document ID
188818503682905329
Author
Fang K
Zhang H
Qi H
Dai Y
Publication year
Publication venue
2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

External Links

Snippet

Classical Hilbert-Huang transform (HHT) is commonly used in bearing vibration signal analysis and fault feature extraction, which consists of two parts: Empirical Mode Decomposition (EMD) and Hilbert spectrum analysis. That mode mixing exists in EMD …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
    • 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

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