This paper proposes OCSVM with a new feature selection method for fault detection of GTGs in thermal power plants. There are three requirements for ...

Therefore, the main purpose of a OC-SVM is to classify normal data and outlier data by constructing a hyperplane with the maximum margin using the kernel ...

Sep 26, 2020 · This paper proposes OCSVM with a new feature selection method for fault detection of GTGs in thermal power plants. Using actual GTG data in ...

One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants. Contribution Type ...

This work proposes a support vector machines (SVM) based model which integrates a dimension reduction scheme to analyze the failures of turbines in thermal ...

One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants · T. YamasakiY ...

Monitoring and alarm system: The system is used to monitor the above generators, and sounds the alarm if any abnormal event occurs. Among them, the steam ...

A OC-SVM (one-class support vector machine) is a commonly used algorithm for determining system abnormalities. Takahiro et al. [1] analyzed failure detection ...

A one-class support vector machine (OC-SVM) is used here and it has an advantage in classification accuracy performance, which improves the initial failure ...

One Class Support Vector Machine with a New Feature Selection Method for Fault Detection of Gas Turbine Generators in Thermal Power Plants.