Anomaly detection for condition monitoring data using auxiliary feature vector and density-based clustering

Improved nonlinear process monitoring based on ensemble KPCA with local structure analysis

(2019) Ping Cui et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

Fault detection of uncertain nonlinear process using interval-valued data-driven approach

(2019) M.-F. Harkat et al.   CHEMICAL ENGINEERING SCIENCE

Improved sensor fault detection, diagnosis and estimation for screw chillers using density-based clustering and principal component analysis

(2018) Guannan Li et al.   ENERGY AND BUILDINGS

Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and Its Application to Hydropower Turbines

(2018) Imtiaz Ahmed et al.   IEEE Transactions on Automation Science and Engineering

Distributed Online One-Class Support Vector Machine for Anomaly Detection Over Networks

(2018) Xuedan Miao et al.   IEEE Transactions on Cybernetics

Ensemble based Algorithm for Synchrophasor Data Anomaly Detection

(2018) M. Zhou et al.   IEEE Transactions on Smart Grid

A Novel Association Rule Mining Method of Big Data for Power Transformers State Parameters Based on Probabilistic Graph Model

(2018) Gehao Sheng et al.   IEEE Transactions on Smart Grid

Boosting Positive and Unlabeled Learning for Anomaly Detection with Multi-features

(2018) Jiaqi Zhang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Localized Multiple Kernel learning for Anomaly Detection: One-class Classification

(2018) Chandan Gautam et al.   KNOWLEDGE-BASED SYSTEMS

A local density-based approach for outlier detection

(2017) Bo Tang et al.   NEUROCOMPUTING

Data-driven Fault Detection and Diagnosis for HVAC water chillers

(2016) A. Beghi et al.   CONTROL ENGINEERING PRACTICE

On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study

(2016) Guilherme O. Campos et al.   DATA MINING AND KNOWLEDGE DISCOVERY

High-Voltage Circuit-Breaker Insulation Fault Diagnosis in Synthetic Test Based on Noninvasive Switching Electric-Field Pulses Measurement

(2016) Xu Kong et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Smart Transformer for Smart Grid—Intelligent Framework and Techniques for Power Transformer Asset Management

(2015) Hui Ma et al.   IEEE Transactions on Smart Grid

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data

(2014) Guoming Tang et al.   IEEE Transactions on Smart Grid

Detecting and Reacting to Changes in Sensing Units: The Active Classifier Case

(2014) Cesare Alippi et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Condition assessment of power transformers using a synthetic analysis method based on association rule and variable weight coefficients

(2013) Lee Li et al.   IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION

Isolation-Based Anomaly Detection

(2012) Fei Tony Liu et al.   ACM Transactions on Knowledge Discovery from Data

Auto-Regressive Processes Explained by Self-Organized Maps. Application to the Detection of Abnormal Behavior in Industrial Processes

(2011) C. Brighenti et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Online Conditional Anomaly Detection in Multivariate Data for Transformer Monitoring

(2010) Victoria M. Catterson et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Automated Load Curve Data Cleansing in Power Systems

(2010) Jiyi Chen et al.   IEEE Transactions on Smart Grid

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS