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S. Al-Alawi, A. H. Al-Badi and K. Ellithy, “An Artificial Neural Network Model for Predicting Gas Pipeline Induced Voltage Caused by Power Lines under Fault Conditions,” International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 24, No. 1, 2005, pp. 69-80. doi:10.1108/03321640510571057

has been cited by the following article:

• TITLE: Measurement and Analysis of Extremely Low Frequency Electromagnetic Field Exposure in Oman

  AUTHORS: Abdullah H. Al-Badi

  KEYWORDS: Electromagnetic Fields; Field Measurements; Exposure limits; ICNIRP

  JOURNAL NAME: Journal of Electromagnetic Analysis and Applications, Vol.4 No.8, August 6, 2012

  ABSTRACT: Concern about the possible health effects from exposure to extremely low frequency (ELF) electromagnetic fields is increasing worldwide. This paper presents analyses of measurements of low frequency magnetic and electric fields caused by conductors carrying current in the Oman electric power system. Measurements were taken during the summer period at around 3 PM to capture peak loads. Field measurements were from several high voltage environments which including different types of electricity infrastructure including overhead lines, underground cables and substations. The measured values were compared to the International Commission on Non-Ionizing Radiation Protection (ICNIRP) standards for both general public and occupational exposure. All the Oman values of electric and magnetic fields are lower than the recommended values provided by ICNIRP.