The main part of the paper deals with the parameter estimation methods that used to determine the best-fitting distribution for a set of data collected during testing or field operations. The methods considered in that case are Least Square Estimation and Maximum Likelihood Estimation. Finally, two different types of field data such as failure times achieved with testing of electronic board for automatic control and with accelerated testing on electronic components were analyzed to find which distribution fits better the data.

Parameter estimation methods for failure rate distributions / Catelani, Marcantonio; Ciani, Lorenzo; Guidi, Giulia; Venzi, Matteo. - STAMPA. - (2016), pp. 441-445. (Intervento presentato al convegno 14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety tenutosi a Milano, Italy nel 2016).

Parameter estimation methods for failure rate distributions

CATELANI, MARCANTONIO;CIANI, LORENZO;VENZI, MATTEO
2016

Abstract

The main part of the paper deals with the parameter estimation methods that used to determine the best-fitting distribution for a set of data collected during testing or field operations. The methods considered in that case are Least Square Estimation and Maximum Likelihood Estimation. Finally, two different types of field data such as failure times achieved with testing of electronic board for automatic control and with accelerated testing on electronic components were analyzed to find which distribution fits better the data.
2016
14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety
14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety
Milano, Italy
2016
Catelani, Marcantonio; Ciani, Lorenzo; Guidi, Giulia; Venzi, Matteo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1053182
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