Abstract
| Original language | English |
|---|---|
| Publication status | Published - 12 Nov 2014 |
| Event | Durham Risk Day 2014 - Durham, United Kingdom Duration: 12 Nov 2014 → 12 Nov 2014 |
Seminar
| Seminar | Durham Risk Day 2014 |
|---|---|
| Country | United Kingdom |
| City | Durham |
| Period | 12/11/14 → 12/11/14 |
Fingerprint
Keywords
- risk
- reliability
- asset management
- wind energy
Cite this
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Economic analysis of condition monitoring systems for wind turbine sub-systems. / May, Allan; McMillan, David; Thöns, Sebastian.
2014. Poster session presented at Durham Risk Day 2014, Durham, United Kingdom.Research output: Contribution to conference › Poster
TY - CONF
T1 - Economic analysis of condition monitoring systems for wind turbine sub-systems
AU - May, Allan
AU - McMillan, David
AU - Thöns, Sebastian
PY - 2014/11/12
Y1 - 2014/11/12
N2 - The growth of the number and size of turbines installed worldwide has been large in recent years. The capital costs involved in the development and installation of wind farms have also increased. To ensure the maximum return on investment, operators are looking to maximize turbine availability and minimize Operation and Maintenance (O&M) costs. Condition Monitoring (CM) systems and Supervisory Control and Data Acquisition (SCADA) systems allow Condition Based Maintenance plans (CbM) to be used which offer possible O&M savings over both Failure based Maintenance (FbM) and Preventive Maintenance (PM) strategies.
AB - The growth of the number and size of turbines installed worldwide has been large in recent years. The capital costs involved in the development and installation of wind farms have also increased. To ensure the maximum return on investment, operators are looking to maximize turbine availability and minimize Operation and Maintenance (O&M) costs. Condition Monitoring (CM) systems and Supervisory Control and Data Acquisition (SCADA) systems allow Condition Based Maintenance plans (CbM) to be used which offer possible O&M savings over both Failure based Maintenance (FbM) and Preventive Maintenance (PM) strategies.
KW - risk
KW - reliability
KW - asset management
KW - wind energy
UR - https://www.dur.ac.uk/dei/events/risk2014/
M3 - Poster
ER -