TY - GEN
T1 - Weibull Analytics of Observed and Suspended Failure Data
T2 - A tutorial on a Weighted Linear Regression Approach
AU - Ross, Robert
PY - 2022
Y1 - 2022
N2 - This paper describes Weibull data analytics in support of grid resilience as well as interpreting test and R&D results. The target was to develop a widely accessible spreadsheet IDA application that can be used on relatively light computing devices such as mobile phones and tablets. This became possible by the use of adjusted ranking with suspended data and development of high accuracy approximations of plotting positions and linear regression weights. A coherent methodology was developed for plotting, parameter estimation and various types of inferences in addition to data analytics. These are: quantifying the similarity of failure processes by their distributions, optimization of period based maintenance cycles, evaluation of expected time and confidence limits for a next failure. These are all integrated into IDA which is made available as freeware for common benefit.
AB - This paper describes Weibull data analytics in support of grid resilience as well as interpreting test and R&D results. The target was to develop a widely accessible spreadsheet IDA application that can be used on relatively light computing devices such as mobile phones and tablets. This became possible by the use of adjusted ranking with suspended data and development of high accuracy approximations of plotting positions and linear regression weights. A coherent methodology was developed for plotting, parameter estimation and various types of inferences in addition to data analytics. These are: quantifying the similarity of failure processes by their distributions, optimization of period based maintenance cycles, evaluation of expected time and confidence limits for a next failure. These are all integrated into IDA which is made available as freeware for common benefit.
UR - http://www.scopus.com/inward/record.url?scp=85146583403&partnerID=8YFLogxK
U2 - 10.23919/CMD54214.2022.9991479
DO - 10.23919/CMD54214.2022.9991479
M3 - Conference contribution
T3 - 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
SP - 56
EP - 65
BT - 2022 9th International Conference on Condition Monitoring and Diagnosis, CMD 2022
CY - Kitakyushu
ER -