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

Volume

14

Issue

12

fYear

2014

fDate

Dec. 2014

Firstpage

4385

Lastpage

4394

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;

fLanguage

English

Journal_Title

Sensors Journal, IEEE

Publisher

ieee

ISSN

1530-437X

Type

jour

DOI

10.1109/JSEN.2014.2334618

Filename

6853302