University of Massachusetts

University of Connecticut

Canrig Drilling Technology Ltd.

Ruqiang Yan

Robert X Gao

Brian Ellis

Jinjiang Wang

Boone Elbert Smith

Jose Abelardo Sanchez Puente

Jose Abelardo Puente

Multiple methods and corresponding apparatuses for efficient and reliable defect diagnosis in components of mechanical systems, are described. According to one aspect, multi-scale enveloping-order spectrogram is used to diagnose, or detect, defects in a moving component of a mechanical system. According to another aspect, defect identification and diagnosis in a motor is performed based on spectral characteristics of motor current envelope. According to yet another aspect, a logic rule model, employing classification of features associated with single- or multi-sensor data, is employed for diagnosis of defects in components of mechanical systems.

Methods and apparatuses for defect diagnosis in a mechanical system

A signal processing technique that decomposes complex, dynamically changing non-stationary signals from machine components such as bearings into different scales by means of a continuous wavelet transform. The envelope signal in each scale is then calculated from the modulus of the wavelet coefficients. Subsequently, Fourier transform is performed repetitively on the envelope of the signal at each scale, resulting in an 'envelope spectrum' of the original signal at the various scales. The final output is a three-dimensional scale-frequency map that indicates the intensity and location of the defect-related frequency lines. The technique is generic in nature, and applicable not only to machine condition monitoring, but also to the health monitoring of a wide range of dynamic systems, including human beings.

Multi-scale enveloping spectrogram signal processing for condition monitoring and the like

Growing community of inventors

Nanjing, China

Ruqiang Yan