Abstract
This paper empirically examines the relationship between
the failure patterns observed in industry and the
potential benefits to the introduction of a
Condition-Based Maintenance (CBM) strategy. Industry
appears to often misunderstand this relationship although
for an informed decision the correct recording and
analyses of failure data is important. Publicly available
relevant data of wear are, at best, limited. A large
number of academic and industrial papers are available
which compare the efficiency of various maintenance
strategies within a range of different industries.
However, the conclusions clearly state that (1) they are
large differences between various industrial sectors and
(2) the relationship between data analyses and
maintenance strategy development is, at best, limited.
Wherever such data collection mechanisms are not in
place, maintenance decisions rely mostly on intuition and
expert views. This paper suggests the importance of
further supporting such investments by appropriately
addressing the need to collect relevant data as a basis
upon which to make development and efficient and
effective maintenance strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 258-272 |
| Journal | International Journal of Process Management and Benchmarking |
| Volume | 6 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2016 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- wear of machinery components
- wear model
- wear statistics
- condition monitoring
- condition-based maintenance
- CBM