scholarly journals Fault Detection Algorithm for Wind Turbines’ Pitch Actuator Systems

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2861
Author(s):  
Gisela Pujol-Vazquez ◽  
Leonardo Acho ◽  
José Gibergans-Báguena
Keyword(s):  
Fault Detection ◽  
Wind Turbines ◽  
Detection System ◽  
Detection Algorithm ◽  
Time Behavior ◽  
Historical Time ◽  
Efficient Tool ◽  
Wind Energy Conversion ◽  
Long Lifetime ◽  
Interval Observer

A fault detection innovation to wind turbines’ pitch actuators is an important subject to guarantee the efficiency wind energy conversion and long lifetime operation of these rotatory machines. Therefore, a recent and effective fault detection algorithm is conceived to detect faults on wind turbine pitch actuators. This approach is based on the interval observer framework theory that has proved to be an efficient tool to measure dynamic uncertainties in dynamical systems. It is evident that almost any fault in any actuator may affect its historical-time behavior. Hence, and properly conceptualized, a fault detection system can be successfully designed based on interval observer dynamics. This is precisely our main contribution. Additionally, we realize a numerical analysis to evaluate the performance of our approach by using a dynamic model of a pitch actuator device with faults. The numerical experiments support our main contribution.

scholarly journals Mil-Std 1553 Cable Modeling for Fault Detection

2020 ◽  
Vol 9 (4) ◽  
pp. 1648-1655
Keyword(s):  
Fault Detection ◽  
Public Transportation ◽  
High Speed ◽  
Power Transmission ◽  
Detection System ◽  
Short Circuit ◽  
Detection Algorithm ◽  
Open Circuit ◽  
Test Signal ◽  
Prototype Development

Amongst major industries, the aircraft industry has gained momentum not only in public transportation, but also in defence, business and space sectors. The electrical, mechanical and electronic systems of an aircraft are all interconnected by different types of cables like hook up wires, cables for high speed data transmission, cables for power transmission, fire resistant cables, co-axial cables etc , with each type of cable having its own specifications. Military Standard 1553 (Mil-Std 1553) is one such cable primarily used for on-board aircraft sub-system communication and monitoring. Mil-Std 1553 protocol defines the physical and electrical properties of the cable. Mil-Std 1553 is a dual redundant bus, that is, there are two channels for a single bus communication. Mil-Std 1553 is prone to faults like opens or shorts because of its continuous wear and tear in aircraft environment. If a faulty cable is operated, then it possesses a high risk to the aircraft system .As of now ,there is no automatic fault detection system employed on Mil-Std 1553. Hence there is a need for automatic fault detection system on Mil-Std 1553 cables before the entire system collapses. In this regard, modeling of Mil-Std 1553 is very important since the developed model can be used for testing of the fault detection algorithm and further prototype development. Here, the Mil-Std 1553 cable has been modeled using SIMULINK/MATLAB. The cable is modeled under two different scenarios: considering only the Test Signal , considering both Test Signal and Data Signal. The cable is modeled considering all its electrical characteristics for three conditions, namely, No Fault condition, Open circuit condition and Short circuit condition. PI section is used as an elemental block for modeling of Mil-Std 1553.

Data-driven design of robust fault detection system for wind turbines

Mechatronics ◽  
2014 ◽  
Vol 24 (4) ◽  
pp. 298-306 ◽  
Author(s):  
Shen Yin ◽  
Guang Wang ◽  
Hamid Reza Karimi
Keyword(s):  
Fault Detection ◽  
Wind Turbines ◽  
Detection System ◽  
Data Driven ◽  
Robust Fault Detection

Estimation of Prepressure in Hydraulic Piston Accumulators for Industrial Wind Turbines Using Multi-Model Adaptive Estimation

2019 ◽  
Author(s):  
Fredrik F. Sørensen ◽  
Malte S. von Benzon ◽  
Sigurd S. Klemmensen ◽  
Kenneth Schmidt ◽  
Jesper Liniger
Keyword(s):  
Fault Detection ◽  
Time Constant ◽  
Wind Turbines ◽  
Adaptive Estimation ◽  
Detection Algorithm ◽  
Thermal Time ◽  
Extended Kalman Filters ◽  
Gas Leakage ◽  
Detection Algorithms ◽  
Thermal Time Constant

Abstract Failures in pitch systems may cause fatal damage to industrial wind turbines. One of the main reasons for failures in pitch systems is gas leakages of hydraulic accumulators. Due to the limited accessibility of offshore turbines, automated fault detection algorithms potentially increase turbine availability. The gas leakage is detected without downtime by using a model-based approach together with a bank and extended Kalman filters (EKF’s). The residual is analyzed using multi-model adaptive estimation (MMAE). The applied accumulator model relies on a thermal time constant describing the heat flux from the gas to the surroundings. The thermal time constant has been empirically derived from a prepressure of 50 to 172 bar. The fault detection algorithm is tested experimentally in a laboratory on a 25 liters piston accumulator using a load scenario obtained from real turbine data and a prepressure range of 50–140 bar. The Bank of EKF’s can classify the prepressure within a range and thereby detect if a gas leakage has occurred before it results in failure.

A Sensor of Aero-Engine Real-Time Fault Detection System Based on ARM9

2012 ◽  
Vol 591-593 ◽  
pp. 1470-1474
Author(s):  
Yi Gang Sun ◽  
Lei Wang ◽  
Wei Xing Chen
Keyword(s):  
Fault Detection ◽  
Data Processing ◽  
Real Time ◽  
Detection System ◽  
Aircraft Engine ◽  
Detection Algorithm ◽  
Signal Acquisition ◽  
Processing Unit ◽  
Processing Efficiency ◽  
Data Processing Unit

A system is designed to monitor fault of sensors for aircraft engine real-time. SCM C8051F120 is used to control sensor signal acquisition process, and after processing and storage, the data will be transferred to the data processing unit via Ethernet for analysis and detection. ARM9 embedded computer based on WinCE is used as a data processing core for the data processing unit, three layers BP neural network is used as a sensor fault detection algorithm and troubleshooting software with C++ is developed. It can handle large amounts of data and improve processing efficiency. It has a good interface as well. Compared with current systems, it has been greatly improved in real-time and accuracy. After verification, the system is accurate and strong real-time, and can monitor aircraft engine sensor faults correctly.

FAULT DETECTION ALGORITHM FOR TEMPERATURE SENSORS OF HOUSEHOLD REFRIGERATORS

2017 ◽  
Author(s):  
Everton Machado ◽  
Alexsandro Santos Silveira ◽  
Alexandre Trofino ◽  
claudio melo
Keyword(s):  
Fault Detection ◽  
Detection Algorithm ◽  
Temperature Sensors
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