Elements of the water distribution systems (WDS) as removable objects can be repaired or replaced, however their failures are difficult for analysis. The impact of WDS failures can be reduced if preventive actions are taken based on their potential of occurrences or if a failure occurs and is detected within a minimum period of time after its occurrence. This requires the development of a forensic system for WDS failures. This is why in this paper we will present an analysis of reliability data from a water supply sources consisting of deep wells taking into consideration additional, potential failure reasons. The aim of the work was also application possibility analysis of a multidimensional scaling method to identify the factors influencing on reliability of deep wells.
CITATION STYLE
Kozłowski, E., Mazurkiewicz, D., Kowalska, B., & Kowalski, D. (2019). Application of a multidimensional scaling method to identify the factors influencing on reliability of deep wells. In Advances in Intelligent Systems and Computing (Vol. 835, pp. 56–65). Springer Verlag. https://doi.org/10.1007/978-3-319-97490-3_6
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