Milling tool wear state recognition based on partitioning around medoids (PAM) clustering

Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model

(2016) Mitchell Yuwono et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Automatic detection of depth of cut during end milling operation using acoustic emission sensor

(2016) Haythem Gaja et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Time-series clustering – A decade review

(2015) Saeed Aghabozorgi et al.   INFORMATION SYSTEMS

A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data

(2015) P. J. García-Nieto et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients

(2015) Piero Baraldi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data-driven fault diagnosis for an automobile suspension system by using a clustering based method

(2014) Guang Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

A review of flank wear prediction methods for tool condition monitoring in a turning process

(2012) A. Siddhpura et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Clustering diagnosis of rolling element bearing fault based on integrated Autoregressive/Autoregressive Conditional Heteroscedasticity model

(2012) Guofeng Wang et al.   JOURNAL OF SOUND AND VIBRATION

Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM

(2012) Liu Wenyi et al.   RENEWABLE ENERGY

A novel KFCM based fault diagnosis method for unknown faults in satellite reaction wheels

(2011) Di Hu et al.   ISA TRANSACTIONS

Tool Wear Monitoring Using Acoustic Emissions by Dominant-Feature Identification

(2010) Jun-Hong Zhou et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Design of multisensor fusion-based tool condition monitoring system in end milling

(2009) Sohyung Cho et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Tool wear effect on cutting forces: In routing process of Aleppo pine wood

(2008) H. Aknouche et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY