A Locally Optimal Algorithm for Estimating a Generating Partition from an Observed Time Series and Its Application to Anomaly Detection

A one-parameter nonlinear fatigue damage accumulation model

(2017) Kristen Rege et al.   INTERNATIONAL JOURNAL OF FATIGUE

A new nonlinear fatigue damage model based only on S-N curve parameters

(2017) Ashish Aeran et al.   INTERNATIONAL JOURNAL OF FATIGUE

Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data

(2017) Hien D. Nguyen et al.   NEURAL COMPUTATION

Unsupervised real-time anomaly detection for streaming data

(2017) Subutai Ahmad et al.   NEUROCOMPUTING

Time-series clustering – A decade review

(2015) Saeed Aghabozorgi et al.   INFORMATION SYSTEMS

State splitting and merging in probabilistic finite state automata for signal representation and analysis

(2014) Kushal Mukherjee et al.   SIGNAL PROCESSING

A fatigue driving stress approach to damage and life prediction under variable amplitude loading

(2012) Samuel Kwofie et al.   INTERNATIONAL JOURNAL OF DAMAGE MECHANICS

Wavelet-based feature extraction using probabilistic finite state automata for pattern classification

(2010) Xin Jin et al.   PATTERN RECOGNITION

Time series modeling by a regression approach based on a latent process

(2009) Faicel Chamroukhi et al.   NEURAL NETWORKS

In-situ fatigue damage monitoring using symbolic dynamic filtering of ultrasonic signals

(2009) D S Singh et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING

Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns

(2008) Chinmay Rao et al.   Signal Image and Video Processing