Classification Of Domestic Electrical Appliances Based On Starting Transient Using Artificial Intelligence Methods

Ong, Sze Mun (2016) Classification Of Domestic Electrical Appliances Based On Starting Transient Using Artificial Intelligence Methods. Project Report. UTeM, Melaka, Malaysia . (Submitted)

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Abstract

With the rising implementation of Home Energy Management Systems (HEMS), active studies had been done relative to power monitoring alternatives. Load monitoring is an essential block of HEMS, therefore the improvement of simplicity and convenience in load monitoring is crucial for the HEMS market expansion. This paper aims to research and analyse the performance of Artificial Neural Network models for classifying the electrical appliances based on the extracted distinctive current starting transient features of electrical appliances. The main challenges present in this research are: conducting reliable instrumentation practice with appropriate choice of instruments, extracting distinctive features contained in the current transient and analysing the ANN classifier for good performance using artificial intelligence methods. The analysis would compare the performance of time-domain inputs and frequency-domain inputs to the ANN classifier. The system consists of three phases: data acquisition, feature extraction and development of ANN model. The main hypothesis of this research was successfully demonstrated and supported by results of computer simulation and data acquisition. The hypothesis is: every appliances exhibits unique transient features that can be extracted and differentiated by an artificial intelligence classifier.

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