Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain

Towards smart factory for industry 4.0: a self-organized multi-agent system with big data based feedback and coordination

(2016) Shiyong Wang et al.   Computer Networks

A population-based incremental learning approach with artificial immune system for network intrusion detection

(2016) Meng-Hui Chen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Novelty detection and multi-class classification in power distribution voltage waveforms

(2016) André Eugênio Lazzaretti et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault detection, diagnosis and recovery using Artificial Immune Systems: A review

(2015) Nawel Bayar et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

(2015) Bruno Sielly Jales Costa et al.   NEUROCOMPUTING

Uncertainty Reduced Novelty Detection Approach Applied to Rotating Machinery for Condition Monitoring

(2015) S. Ma et al.   SHOCK AND VIBRATION

Comparative Study of Time-Frequency Decomposition Techniques for Fault Detection in Induction Motors Using Vibration Analysis during Startup Transient

(2015) Paulo Antonio Delgado-Arredondo et al.   SHOCK AND VIBRATION

Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques

(2014) Humberto Henao et al.   IEEE Industrial Electronics Magazine

Incremental kernel spectral clustering for online learning of non-stationary data

(2014) Rocco Langone et al.   NEUROCOMPUTING

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

A modified support vector data description based novelty detection approach for machinery components

(2012) Shijin Wang et al.   APPLIED SOFT COMPUTING

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks

(2012) Miguel Delgado Prieto et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An intelligent condition-based maintenance platform for rotating machinery

(2011) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature extraction for novelty detection as applied to fault detection in machinery

(2011) Jordan McBain et al.   PATTERN RECOGNITION LETTERS

Outliers detection in environmental monitoring databases

(2010) Hugo Garces et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

An Industrial Strength Novelty Detection Framework for Autonomous Equipment Monitoring and Diagnostics

(2010) Dimitar P. Filev et al.   IEEE Transactions on Industrial Informatics

Concepts for novelty detection and handling based on a case-based reasoning process scheme

(2008) Petra Perner   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Advances in Diagnostic Techniques for Induction Machines

(2008) A. Bellini et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS