TY - GEN
T1 - Remarks on estimating the remaining useful life of an asset in the presence of condition variable changes
AU - Barraza-Barraza, Diana
AU - Tercero-Gómez, Víctor G.
AU - Beruvides, Mario G.
AU - Cordero-Franco, Alvaro E.
PY - 2017
Y1 - 2017
N2 - This paper presents a summary of methodologies previously developed that focus on dealing with no historic degradation data, with changes in degradation condition and incorporating statistical monitoring into conditionbased maintenance (CBM). However, estimating the remaining useful life (RUL) of an asset is a complex task widely studied in the last decades. The main difficulty in RUL estimation through condition monitoring is the variety of failure paths that the assets develop. Studies have shown that similar assets develop significantly different degradations paths affecting the amount of historic data available for its analysis. Consequently, the available historic data to study these degradations are even scarcer. In addition, the condition variable might suffer a change through the asset life, producing misleading estimations if these changes are not taken into account when fitting a model. By considering these changes and highlighting the obstacles faced in the development of these methodologies, the lessons learned and the challenges in future RUL estimation research are further explored.
AB - This paper presents a summary of methodologies previously developed that focus on dealing with no historic degradation data, with changes in degradation condition and incorporating statistical monitoring into conditionbased maintenance (CBM). However, estimating the remaining useful life (RUL) of an asset is a complex task widely studied in the last decades. The main difficulty in RUL estimation through condition monitoring is the variety of failure paths that the assets develop. Studies have shown that similar assets develop significantly different degradations paths affecting the amount of historic data available for its analysis. Consequently, the available historic data to study these degradations are even scarcer. In addition, the condition variable might suffer a change through the asset life, producing misleading estimations if these changes are not taken into account when fitting a model. By considering these changes and highlighting the obstacles faced in the development of these methodologies, the lessons learned and the challenges in future RUL estimation research are further explored.
KW - Autoregressive models
KW - Bearing degradation
KW - Condition-based maintenance
KW - Reliability
KW - Remaining useful life
UR - http://www.scopus.com/inward/record.url?scp=85030991747&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85030991747
T3 - 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
SP - 1613
EP - 1618
BT - 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
A2 - Nembhard, Harriet B.
A2 - Coperich, Katie
A2 - Cudney, Elizabeth
PB - Institute of Industrial Engineers
T2 - 67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
Y2 - 20 May 2017 through 23 May 2017
ER -