Transient event detection in spectral envelope estimates for nonintrusive load monitoring

@article{Leeb1995TransientED,
  title={Transient event detection in spectral envelope estimates for nonintrusive load monitoring},
  author={Steven B. Leeb and Steven R. Shaw and James L. Kirtley},
  journal={IEEE Transactions on Power Delivery},
  year={1995},
  volume={10},
  pages={1200-1210}
}
This paper describes the theoretical foundation and prototype implementation of a power system transient event detector for use in a nonintrusive load monitor (NILM). The NILM determines the operating schedule of the major electrical loads in a building from measurements made at the electric utility service entry. The transient event detector extends the applicability of the NILM to challenging commercial and industrial sites. A spectral preprocessor for use in the transient event detector is… 
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References

SHOWING 1-10 OF 25 REFERENCES
A conjoint pattern recognition approach to nonintrusive load monitoring
TLDR
A new syntactic grammar is created that extends minimum information techniques into many possible applications that can be viewed in a multiscale framework and is implemented on an advanced digital signal processor that serves as a prototype for a commercial NILM.
Using appliance signatures for monitoring residential loads at meter panel level
The author presents an initial approach to identifying electrical household appliances strictly by analyzing variations in current-voltage signals at the meter panel level. The study shows that local
Nonintrusive appliance load monitoring
A nonintrusive appliance load monitor that determines the energy consumption of individual appliances turning on and off in an electric load, based on detailed analysis of the current and voltage of
Generalized averaging method for power conversion circuits
The method of state-space averaging has been successfully applied to pulse-width modulated power converters, but has its limitations with switched circuits that do not satisfy a small-ripple
Detection of abrupt changes in signals and dynamical systems : Some statistical aspects
TLDR
The aim of this paper is to present some points of this detection problem, with a particular emphasis on the statistical aspects, leaving out the system theoretic aspects, which are of great importance in the control context, or, more generally, in the case of multichannel signal processing.
Circuits, Signals, and Systems
TLDR
These twenty lectures have been developed and refined by Professor Siebert during the more than two decades he has been teaching introductory Signals and Systems courses at MIT and are designed to familiarize students with the properties of a fundamental set of analytical tools.
Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial
TLDR
Several applications of the polyphase concept are described, including subband coding of waveforms, voice privacy systems, integral and fractional sampling rate conversion, digital crossover networks, and multirate coding of narrowband filter coefficients.
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  • S. Mallat
  • Computer Science
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1989
TLDR
It is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2/Sup j/ can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
...
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