Title :
The Sinefit Spectral Envelope Preprocessor
Author :
Paris, James ; Donnal, John S. ; Remscrim, Zachary ; Leeb, Steven B. ; Shaw, Steven R.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
This paper presents a new spectral envelope preprocessor based on sinusoid fitting and the discrete Fourier transform. This preprocessor is well-suited for nonintrusive condition monitoring and diagnostics due to its high noise resiliency and flexibility. It reduces data storage, transfer, and processing requirements by extracting only relevant harmonic signatures. This paper analyzes the resolution and accuracy benefits of spectral envelopes, including the effects of additive white Gaussian noise and presence of higher frequency spectral harmonics.
Keywords :
AWGN; discrete Fourier transforms; signal processing; spectral analysis; Sinefit spectral envelope preprocessor; additive white Gaussian noise; discrete Fourier transform; frequency spectral harmonics; nonintrusive condition monitoring; sinusoid fitting; Data mining; Data preprocessing; Discrete Fourier transforms; Harmonic analysis; Noise; Quantization (signal); Sensors; Digital metering; Energy monitoring; nonintrusive load monitoring; power computation; power monitoring;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2014.2334618
