dc.contributor.advisor | Steven B. Leeb. | en_US |
dc.contributor.author | Abler, Craig Bennett, 1975- | en_US |
dc.date.accessioned | 2009-10-01T15:32:34Z | |
dc.date.available | 2009-10-01T15:32:34Z | |
dc.date.copyright | 1998 | en_US |
dc.date.issued | 1998 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/47690 | |
dc.description | Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998. | en_US |
dc.description | Includes bibliographical references (p. 133-134). | en_US |
dc.description.abstract | A Nonintursive Load Monitor (NILM) is a device that determines the operating schedule of electric loads by properly locating and identifying transient events in the spectral envelopes of the current waveform measured at the utility service entry. The spectral envelopes of the current waveform are the coefficients of its time varying Fourier series representation and as such can be estimated by low-pass filtering the current mixed with appropriate basis sinusoids. Spectral envelope estimators have been termed pre-processors. In this thesis, two pre-processors were designed. The first utilizes magic sine waves as the basis functions instead of sinusoids. The second is a digital pre-processor developed on a digital signal processor. The digital design was used in complete NILM platforms and its performance is analyzed to determine the quality of the envelopes produced. Finally, avenues for further work on the digital pre-processing unit are suggested. | en_US |
dc.description.statementofresponsibility | by Craig Bennett Abler. | en_US |
dc.format.extent | 134 p. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science | en_US |
dc.title | Spectral envelope estimation for transient event detection | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.B.and M.Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.identifier.oclc | 42256605 | en_US |