Lin, Ming-Jong
(2023)
*To Judge the Power Circuit Breaker Interrupting Time and the Prediction of Maintenance Schedule with Normal Distribution Probability.*
Journal of Engineering Research and Reports, 25 (7).
pp. 43-50.
ISSN 2582-2926

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## Abstract

In this article, begins with the motivation for compiling, literature review, and normal distribution theory and characteristics with a shallow example to explain.

Design Method: Making an approximately qualitative normal distribution with EXCEL software. First, the sample group plays an important role in the article, it with the cooperation of EXCEL application software and normal distribution rules, can be establish what those the relevant parameters of normal distribution. Taking the relevant parameters to drawn into a bell-shaped curve graph, then the standard score and probability of the area of the bell-shaped curve is out of converted.

Design Purpose: As a detection tool of judgement.

In this way, an approximately qualitative normal distribution is been formed and its mean, variation and standard deviation are been took as a detection based to evaluated what the probability of any random variable of the same type.

Design Effectiveness: To judge of equipment inspection data and work schedule prediction. However, an approximately qualitative normal distribution is been constructed with actual data to calculate out of being relevant parameters, with those ones to judge the interruption time of the circuit breaker what it good or bad in standard value. Another case that was estimated what the probability of arrival time for equipment's spare part with known parameters of qualitative normal distribution. Then review the confusing symbols in the above-mentioned construction design and explain in detail, so as to thoroughly understand the relationship between the parameters of the normal distribution theory. This article demonstrates writing skills with both text and pictures and operational instructions to enhance learning interest and aim to apply what you have learned.

Item Type: | Article |
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Subjects: | Article Paper Librarian > Engineering |

Depositing User: | Unnamed user with email support@article.paperlibrarian.com |

Date Deposited: | 21 Sep 2023 10:08 |

Last Modified: | 21 Sep 2023 10:08 |

URI: | http://editor.journal7sub.com/id/eprint/1611 |