Anita Agárdi, and Károly Nehéz

Failure prediction with Weibull distribution

In the industrial environment, the reliability of machines and equipment is not only a matter of convenience but a key factor in terms of the productivity and competitiveness of companies. Unexpected breakdowns, shutdowns or malfunctions of machines can cause serious economic damage, not to mention potential workplace accidents or environmental damage. This article presents a failure prediction model, where the probability failure of machines and pieces of equipment is determined using the Weibull distribution. The model can predict the failure of a single machine and determine the failure of the entire system. After the introduction, the most important literature on the subject is presented, followed by a description of the Weibull distribution. The article describes the test datasets and their results. The tests were created for the following data sizes: 2 units, 5 units, 15 units, 40 units, 100 units.

Reference:

DOI:  10.36244/ICJ.2025.5.5

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Please cite this paper the following way:

Anita Agárdi, and Károly Nehéz, "Failure prediction with Weibull distribution", Infocommunications Journal, Special Issue on AI Transformation, 2025, pp. 33-41, https://doi.org/10.36244/ICJ.2025.5.5