Self-Organizing Maps with Unsupervised Learning for Condition Monitoring of Fluid Power Systems

Author(s):  
T. Krogerus ◽  
J. Vilenius ◽  
J. Liimatainen ◽  
K.T. Koskinen
2005 ◽  
Vol 29 (3) ◽  
pp. 441-458 ◽  
Author(s):  
Nariman Sepehri ◽  
Mark Karpenko ◽  
Liang An ◽  
Suha Karam

This paper reports the relevant aspects of a novel experimental test facility for research on fault tolerant control design and condition monitoring of fluid power systems recently constructed at the University of Manitoba. Common faults and their effects on the operation of valve controlled hydraulic actuators, such as those found in aerospace applications, are summarized first. The manuscript then presents the main features of the test rig and the modifications made to simulate various faults. The design also incorporates techniques to easily simulate load conditions from viscous forces to complex dynamic loads. The significance of the test rig in the development of advanced condition monitoring and fault tolerant control strategies is also illustrated by the presentation of the results of some recent research work conducted using the test facility. By sharing their experience with other investigators in this active area of fluid power research, the authors hope to establish a national benchmark test facility for the objective evaluation of state-of-the-art monitoring and control strategies for fluid power systems.


2002 ◽  
Author(s):  
Jahmy Hindman ◽  
Richard Burton ◽  
Greg Schoenau

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1305
Author(s):  
Magnus F. Asmussen ◽  
Jesper Liniger ◽  
Henrik C. Pedersen

Wind turbines have become a significant part of the global power production and are still increasing in capacity. Pitch systems are an important part of modern wind turbines where they are used to apply aerodynamic braking for power regulation and emergency shutdowns. Studies have shown that the pitch system is responsible for up to 20% of the total down time of a wind turbine. Reducing the down time is an important factor for decreasing the total cost of energy of wind energy in order to make wind energy more competitive. Due to this, attention has come to condition monitoring and fault detection of such systems as an attempt to increase the reliability and availability, hereby the reducing the turbine downtime. Some methods for fault detection and condition monitoring of fluid power systems do exists, though not many are used in today’s pitch systems. This paper gives an overview of fault detection and condition monitoring methods of fluid power systems similar to fluid power pitch systems in wind turbines and discuss their applicability in relation to pitch systems. The purpose is to give an overview of which methods that exist and to find areas where new methods need to be developed or existing need to be modified. The paper goes through the most important components of a pitch system and discuss the existing methods related to each type of component. Furthermore, it is considered if existing methods can be used for fluid power pitch systems for wind turbine.


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