Wind Turbine Fault Detection through Principal Component Analysis and Statistical Hypothesis Testing
نویسندگان
چکیده
منابع مشابه
Wind Turbine Fault Detection through Principal Component Analysis and Statistical Hypothesis Testing
This work addresses the problem of online fault detection of an advanced wind turbine benchmark under actuators (pitch and torque) and sensors (pitch anglemeasurement) faults of different type. The fault detection scheme starts by computing the baseline principal component analysis (PCA) model from the healthy wind turbine. Subsequently, when the structure is inspected or supervised, new measur...
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Renewable energy sources are gaining high prominence in today’s world. However, these sources do not supply energy throughout the year and hence efficiency is required when extracting energy from them. Wind energy is a recently developing area of common interest. Efficiency of a wind turbine is however, very low. Hence, detection of fault in the system becomes very essential so as to increase t...
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Sensors are essential components of modern control systems. Any faults in sensors will affect the overall performance of a system because their effects can easily propagate to manipulative variables through feedback control loops and also disturb other process variables. The task for sensor validation is to detect and isolate faulty sensors and estimate fault magnitudes afterwards to provide fa...
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Diagnosis method based on Principal Component Analysis (PCA) has been widely developed. However, this method deals only with data which are described by single-valued variables. The purpose of the present paper is to generalize the diagnosis method to interval PCA. The fault detection is performed using the new indicator [SPE]. To identify the faulty variables, this work proposes a new method b...
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One of the most popular multivariate statistical methods used for signals based process monitoring and data compression is the Dynamic Principal Component Analysis. This method computes the orthogonal principal directions assuming stationarity in the time series of the process, however, if observations are not stationary, false alarms could be generated during the fault detection and isolation ...
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ژورنال
عنوان ژورنال: Advances in Science and Technology
سال: 2016
ISSN: 1662-0356
DOI: 10.4028/www.scientific.net/ast.101.45