Assessment of emissions from electrical equipment regarding human exposure

Jaekel, B.W.; Mladenović, Ana N.; Perić, Mirjana T.; Vučković, Dragan; Cvetković, Nenad; Aleksić, Slavoljub

doi:10.1109/isemc.2010.5711362

Cited by 2 publications

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“…Bernd W. Jaekel et al [5] conducted a study on the electromagnetic compatibility (EMC) limitations for the emission produced by electrical equipment mostly due to the need to protect radio services from being interfered. They also looked at this emission with regard to human health and the exposure to electromagnetic emission.…”

Section: Introductionmentioning

confidence: 99%

Analysis on RF emission of electrical appliances

Alkahtani

Nordin

Sharrif

et al. 2012

2012 IEEE International Conference on Control System, Computing and Engineering

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With the increased number of electrical appliances in our daily life, Radio Frequency (RF) emission of electrical appliances and its general effects have imposed a great challenge to researchers dealing with human health and power quality of electrical supplies. Even though studying the general effects of the RF emission from electrical appliances is important, it would be beneficial to study the characteristics of the generated signals and how they differ from one appliance to another. Hence, the aim of this paper is to investigate the signal structure and magnitude variation of the RF signals emitted from electrical appliances. Six electrical appliances were tested and their RF emission was recorded consecutively. The emitted signals were captured using an Active-loop antenna with a range of 1 KHz to 30 MHz and a spectrum analyzer of Agilent E4411B model. Experiment results showed that all the tested appliances emit noticeable and unique RF signals when operating.

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Section: Introductionmentioning

confidence: 99%

Analysis on RF emission of electrical appliances

Alkahtani

Nordin

Sharrif

et al. 2012

2012 IEEE International Conference on Control System, Computing and Engineering

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show abstract

“…Radio frequency interference (or RFI) is a high-frequency noise radiated from nearby electronic devices that propagate in ambient RF environment [8][9][10]. Broadly RFI sources can be categorized into two sub-categories by their purpose of transmission (1) Intelligent sources (2) Non-intelligent sources.…”

Section: Introductionmentioning

confidence: 99%

Appliance Activity Recognition Using Radio Frequency Interference Emissions

2016

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Over the past few decades, with rapid growth in infrastructure, there has been tremendous growth in energy consumption. Along with this, more and more electronic appliances are added to the existing infrastructure every day. Furthermore, the existing energy bills just provide an aggregate number of units consumed but fail to provide any actionable details of appliance level usage. With the quest for long-term energy sustainability and to reduce this ever-growing energy consumption, research groups across the globe have started looking into energy disaggregation as a means of providing feedback. Some promising techniques like Non-intrusive appliance load monitoring (NIALM) have been adopted to provide detailed energy breakdown to the end consumer. Despite all these efforts, energy attribution to the electrical activities still seems to be a farfetched goal, especially in shared spaces. In this work, we have analyzed the possibility of using RF emissions from electronic appliances to detect electrical activity. Besides their known operation, these appliances are known to radiate high-frequency noise in the ambient environment, also called radio frequency interference (or RFI). Hence by utilizing these RFI emissions from electronic appliances, electrical activity from the appliance can be detected in multiple frequency bands and at varying distances. An 8-fit Gaussian mixture model (GMM) and k-peak finder are used for feature extraction from RFI data, followed by appliance activity recognition using k-nearest neighbor based classification. Appliance detection is performed with a mean accuracy of 71.9% across 7-class classification problem. Finally, characteristic features of RFI observed from these appliances, are discussed.Index Terms-RFI (Radio frequency interference), kNN (knearest neighbor), NIALM (Non-intrusive appliance load monitoring), SMPS (Switched mode power supply), HF (High frequency), LF (Low frequency), UPS (Uninterruptable power supply), CFL (Compact fluorescent lamp). A 1530-437X (c)

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Assessment of emissions from electrical equipment regarding human exposure

Cited by 2 publications

References 0 publications

Analysis on RF emission of electrical appliances

Analysis on RF emission of electrical appliances

Appliance Activity Recognition Using Radio Frequency Interference Emissions

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