Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | Maintenance Performance Measurement & Management, MPMM 2013 |
| Editors | Sari Monto, Miia Pirttilä, Timo Kärri |
| Publisher | Lappeenranta University of Technology |
| Pages | 113-127 |
| ISBN (Print) | 978-9-5226-5443-4 |
| Publication status | Published - 2013 |
| MoE publication type | Not Eligible |
| Event | Maintenance Performance Measurement and Management Conference Conference, MPMM 2013 - Lappeenranta, Finland Duration: 12 Sep 2013 → 13 Sep 2013 |
Conference
| Conference | Maintenance Performance Measurement and Management Conference Conference, MPMM 2013 |
|---|---|
| Abbreviated title | MPMM 2013 |
| Country | Finland |
| City | Lappeenranta |
| Period | 12/09/13 → 13/09/13 |
Fingerprint
Keywords
- prognosis
- rolling bearings
- wear evolution
- systems dynamics
Cite this
}
Model-based prognosis for rolling element bearings. / El-Thalji, Idriss; Jantunen, Erkki.
Proceedings: Maintenance Performance Measurement & Management, MPMM 2013. ed. / Sari Monto; Miia Pirttilä; Timo Kärri. Lappeenranta University of Technology, 2013. p. 113-127.Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Model-based prognosis for rolling element bearings
AU - El-Thalji, Idriss
AU - Jantunen, Erkki
N1 - Project code: 76753
PY - 2013
Y1 - 2013
N2 - Rolling element bearing is one of the most critical components that determine the machinery health and its remaining lifetime. Rolling contact wear is responsible for the damages initiating on and beneath the contacting surfaces of rolling element bearings. Wear prognosis aims to predict the defect and its evolution progress before it occurs. It addresses the use of automated methods to predict the degradation of physical system performance and the remaining lifetime. Actually, the fundamental need for predictive intelligence tools is to monitor the degradation rather than just detecting the defects, otherwise it will be hard to optimise the asset utilisation in cost effective manner. The current prognosis models are based on predetermined probabilistic damage functions or constant damage factors. Therefore, the purpose of this paper is to develop a prognosis model which is able to predict the evolution of rolling contact wear, using systems dynamics approach. Instead of pre-determined damage functions, the dynamic development of wear process is proposed. The dynamic development of wear considers multiple wear mechanisms and their interactions with respect to surface topological and tribological changes. Moreover, it considers the stress concentration mechanisms and their propagation processes. Therefore, the paper utilizes a five-stage model to simplify the dynamic development of wear progress over the lifetime. The five stages are running-in, steady-state, defect initiation (dentations, pits, and inclusions), defect propagation (extended pits, propagated cracks), damage growth (spalls). The paper is relevant in enhancing the effectiveness of prognostics procedures of rolling element bearing wear.
AB - Rolling element bearing is one of the most critical components that determine the machinery health and its remaining lifetime. Rolling contact wear is responsible for the damages initiating on and beneath the contacting surfaces of rolling element bearings. Wear prognosis aims to predict the defect and its evolution progress before it occurs. It addresses the use of automated methods to predict the degradation of physical system performance and the remaining lifetime. Actually, the fundamental need for predictive intelligence tools is to monitor the degradation rather than just detecting the defects, otherwise it will be hard to optimise the asset utilisation in cost effective manner. The current prognosis models are based on predetermined probabilistic damage functions or constant damage factors. Therefore, the purpose of this paper is to develop a prognosis model which is able to predict the evolution of rolling contact wear, using systems dynamics approach. Instead of pre-determined damage functions, the dynamic development of wear process is proposed. The dynamic development of wear considers multiple wear mechanisms and their interactions with respect to surface topological and tribological changes. Moreover, it considers the stress concentration mechanisms and their propagation processes. Therefore, the paper utilizes a five-stage model to simplify the dynamic development of wear progress over the lifetime. The five stages are running-in, steady-state, defect initiation (dentations, pits, and inclusions), defect propagation (extended pits, propagated cracks), damage growth (spalls). The paper is relevant in enhancing the effectiveness of prognostics procedures of rolling element bearing wear.
KW - prognosis
KW - rolling bearings
KW - wear evolution
KW - systems dynamics
M3 - Conference article in proceedings
SN - 978-9-5226-5443-4
SP - 113
EP - 127
BT - Proceedings
A2 - Monto, Sari
A2 - Pirttilä, Miia
A2 - Kärri, Timo
PB - Lappeenranta University of Technology
ER -