4 papers
Fault Detection Using Nonlinear Low-Dimensional Representation of Sensor Data
Kai Shen, Anya Mcguirk, Yuwei Liao +2
Sensor data analysis plays a key role in health assessment of critical equipment. Such data are multivariate and exhibit nonlinear relationships. This paper describes how one can e…
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
Zekun Xu, Deovrat Kakde, Arin Chaudhuri
In recent years, there have been many practical applications of anomaly detection such as in predictive maintenance, detection of credit fraud, network intrusion, and system failur…
A New SVDD-Based Multivariate Non-parametric Process Capability Index
Deovrat Kakde, Arin Chaudhuri, Diana Shaw
Process capability index (PCI) is a commonly used statistic to measure ability of a process to operate within the given specifications or to produce products which meet the require…
A new bandwidth selection criterion for using SVDD to analyze hyperspectral data
Yuwei Liao, Deovrat Kakde, Arin Chaudhuri +3
This paper presents a method for hyperspectral image classification that uses support vector data description (SVDD) with the Gaussian kernel function. SVDD has been a popular mach…