Nonparametric adaptive age replacement with a one-cycle criterion
نویسندگان
چکیده
منابع مشابه
Nonparametric adaptive age replacement with a one-cycle criterion
Age replacement of technical units has received much attention in the reliability literature over the last four decades. Mostly, the failure time distribution for the units is assumed to be known, and minimal costs per unit of time is used as optimality criterion, where renewal reward theory simplifies the mathematics involved but requires the assumption that the same process and replacement st...
متن کاملNonparametric adaptive opportunity-based age replacement strategies
We consider opportunity-based age replacement using nonparametric predictive inference (NPI) for the time to failure of a future unit. Based on n observed failure times, NPI provides lower and upper bounds for the survival function for the time to failure Xn+1 of a future unit, which lead to upper and lower cost functions, respectively, for opportunitybased age replacement based on the renewal ...
متن کاملNonparametric Predictive Inference for Age Replacement with a Renewal Argument
We consider an age replacement problem with cost function based on the renewal reward theorem. However, instead of assuming a known probability distribution for the lifetimes, we apply Hill’s assumption A(n) for predicting probabilities for the lifetime of a future item. Lower and upper bounds for the survival function of a future item are used, resulting in upper and lower cost functions. Mini...
متن کاملAge Effects in Adaptive Criterion Learning.
OBJECTIVE Although prior work has examined age-related changes to criterion placement and flexibility, no study tested these constructs through a paradigm that employs adaptive feedback to encourage specific criterion changes. The goal of this study was to assess age differences in how young and older adults adapt and shift criteria in recognition memory decisions based on trial-by-trial feedba...
متن کاملNonparametric Adaptive Control for Discrete - Time Markov Processes with Unbounded Costs under Average Criterion
We introduce average cost optimal adaptive policies in a class of discrete-time Markov control processes with Borel state and action spaces, allowing unbounded costs. The processes evolve according to the system equations xt+1 = F (xt, at, ξt), t = 1, 2, . . . , with i.i.d. R -valued random vectors ξt, which are observable but whose density ̺ is unknown.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Reliability Engineering & System Safety
سال: 2007
ISSN: 0951-8320
DOI: 10.1016/j.ress.2005.11.002