Prognostics and Health Management (PHM) provides an opportunity for lowering sustainment costs, improving maintenance decision-making and providing product usage feedback into the product design and validation process. The adoption of PHM approaches requires consideration and planning for integration into new and existing systems, operations, and processes. However, PHM must provide a significa...

In the past decades, machine learning techniques or algorithms, particularly, classifiers have been widely applied to various real-world applications such as PHM. In developing high-performance classifiers, or machine learning-based models, i.e. predictive model for PHM, the predictive model evaluation remains a challenge. Generic methods such as accuracy may not fully meet the needs of models ...

In this paper, we consider the joint optimization of economic manufacturing quantity (EMQ) and preventive maintenance (PM) policy for a production facility subject to deterioration and condition monitoring (CM). Unlike the previous joint models of EMQ and maintenance policy which used traditional maintenance approaches, we propose the proportional hazards model (PHM) to consider CM information ...

Model. The primary exposure variable was a time­varying covariate that indicated whether a beneficiary had expe­ rienced an interruption of Medicaid coverage in the prior month. Confounders adjusted for in the model included demographic characteristics, type of Medicaid coverage (ie, Temporary Assistance to Needy Families [TANF], Supple­ mental Security Income [SSI], or other), non­Medicaid for...