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DADICC: Intelligent system for anomaly detection in a combined
In order to reach this objective, a modelling
process is required for the characterization of the normal performance when any symptom of a possible fault is present. This will be the
reference for early detection of possible anomalies. If a deviation in respect to the normal behaviour predicted is observed, an analysis of
its causes is performed in order to diagnose the potential problem, and, if possible, its prevention. A multi-agent system supports the
different roles required in DADICC. The detection of anomalies is based on agents that use models elaborated using mainly neural networks
techniques. The diagnosis of the anomalies is prepared by agents based on an expert-system structure. This paper describes the
main characteristics of DADICC and its operation.
2010-04-21
2 Condition monitoring and fault detection of wind turbines and related algorithms A review
Wind turbines are used to tap the potential
of wind energy, which is available in millions of MW. Reliability of wind turbine is critical to extract this maximum amount of energy
from the wind. We reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine
as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns. To keep
the wind turbine in operation, implementation of condition monitoring system (CMS) and fault detection system (FDS) is paramount
and for this purpose ample knowledge of these two types of systems is mandatory. So, an attempt has been made in this direction to
review maximum approaches related to CMS and FDS in this piece of writing.
2010-04-21
Maintenance management of wind power systems
The wind power industry has experienced a large growth the past years. The growth mainly focus on a growing market, better economical conditions for wind power because of political decisions and the development of large wind turbines and offshore farms. A goal is to increase reliability for turbines. The topic is even more important for offshore farms where service is difficult and expensive
2010-04-21
Predicative Maintanance of Pumps Using Condition Monitoring
预测将发生的故障,可以采取补救措施避免破坏性故障与连带故障的发生,保证机组安全
2010-03-20
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