Shock safety modeling method for low-voltage electric devices

2010 ◽  
Vol 59 (3-4) ◽  
pp. 153-167
Author(s):  
Włodzimierz Korniluk ◽  
Dariusz Sajewicz
Keyword(s):  
Bayesian Network ◽  
Electric Shock ◽  
Low Voltage ◽  
Modeling Method ◽  
Shock Protection

Shock safety modeling method for low-voltage electric devices The article describes a shock safety modeling method for low-voltage electric devices, based on using a Bayesian network. This method allows for taking into account all possible combinations of the reliability and unreliability states for the shock protection elements under concern. The developed method allows for investigating electric shock incidents, analysing and assessing shock risks, as well as for determining criteria of dimensioning shock protection means, also with respect to reliability of the particular shock protection elements. Dependencies for determining and analysing the probability of appearance of reliability states of protection as well as an electric shock risk are presented in the article.

scholarly journals Shock safety modelling of indirect contact with low-voltage electric devices

2011 ◽  
Vol 60 (3) ◽  
pp. 303-315
Author(s):  
Włodzimierz Korniluk ◽  
Dariusz Sajewicz
Keyword(s):  
Ventricular Fibrillation ◽  
Electric Shock ◽  
Low Voltage ◽  
Indirect Contact ◽  
Probability Of Occurrence ◽  
Electric Device ◽  
Shock Protection

Shock safety modelling of indirect contact with low-voltage electric devices The article presents a shock safety model of an indirect contact with a low-voltage electric device. This model was used for computations and analyses concerning the following: the probabilities of appearance of the particular shock protection unreliability states, electric shock states (ventricular fibrillation), contributions of the unreliability of different shock protection elements to the probability of occurrence of these states, as well as the risk of electric shock (and the shock safety), and contributions of the intensity of occurrence of damages to different shock protection elements to this risk. An example of a possibility to reduce the risk of an electric shock through changing the intensity of occurrence of damages to the selected protection elements was provided.

scholarly journals Testing Sensitivity of A-Type Residual Current Devices to Earth Fault Currents with Harmonics

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2044
Author(s):  
Stanislaw Czapp
Keyword(s):  
Power Systems ◽  
Electric Shock ◽  
Low Voltage ◽  
Wide Spectrum ◽  
Residual Current ◽  
Motor Speed ◽  
Earth Fault ◽  
Fault Currents ◽  
Wide Range ◽  
Sinusoidal Waveform

In many applications, modern current-using equipment utilizes power electronic converters to control the consumed power and to adjust the motor speed. Such equipment is used both in industrial and domestic installations. A characteristic feature of the converters is producing distorted earth fault currents, which contain a wide spectrum of harmonics, including high-order harmonics. Nowadays, protection against electric shock in low-voltage power systems is commonly performed with the use of residual current devices (RCDs). In the presence of harmonics, the RCDs may have a tripping current significantly different from that provided for the nominal sinusoidal waveform. Thus, in some cases, protection against electric shock may not be effective. The aim of this paper is to present the result of a wide-range laboratory test of the sensitivity of A-type RCDs in the presence of harmonics. This test has shown that the behavior of RCDs in the presence of harmonics can be varied, including the cases in which the RCD does not react to the distorted earth fault current, as well as cases in which the sensitivity of the RCD is increased. The properties of the main elements of RCDs, including the current sensor, for high-frequency current components are discussed as well.

scholarly journals Automatic Modeling Method Based on Bayesian Network

2020 ◽  
Vol 1631 ◽  
pp. 012011
Author(s):  
Lu Han ◽  
Xianjun Shi ◽  
Taoyu Wang
Keyword(s):  
Bayesian Network ◽  
Modeling Method ◽  
Automatic Modeling
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