System for Tool-Wear Condition Monitoring in CNC Machines under Variations of Cutting Parameter Based on Fusion Stray Flux-Current Processing

Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA

(2021) Jose R. Huerta-Rosales et al.   SENSORS

Magnetic Flux Analysis for the Condition Monitoring of Electric Machines: A Review

(2021) Israel Zamudio-Ramirez et al.   IEEE Transactions on Industrial Informatics

A Review of Indirect Tool Condition Monitoring Systems and Decision-Making Methods in Turning: Critical Analysis and Trends

(2020) Mustafa Kuntoğlu et al.   SENSORS

Cutting Tool Wear Monitoring in CNC Machines Based in Spindle-Motor Stray Flux Signals

(2020) Israel Zamudio-Ramirez et al.   IEEE Transactions on Industrial Informatics

Investigation of progressive tool wear for determining of optimized machining parameters in turning

(2019) Mustafa Kuntoğlu et al.   MEASUREMENT

Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations

(2019) Zhiwen Huang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Review of tool condition monitoring methods in milling processes

(2018) Yuqing Zhou et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Smart-sensor for tool-breakage detection in milling process under dry and wet conditions based on infrared thermography

(2018) Juan A. Ramirez-Nunez et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes

(2017) Juan P Amezquita-Sanchez et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction

(2017) Juan Jose Saucedo-Dorantes et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Fuzzy logic based tool condition monitoring for end-milling

(2017) Besmir Cuka et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

A sensorless approach for tool fracture detection in milling by integrating multi-axial servo information

(2016) Ryo Koike et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model

(2016) Kamran Javed et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool life predictions in milling using spindle power with the neural network technique

(2016) Cyril Drouillet et al.   Journal of Manufacturing Processes

Current rise criterion: a process-independent method for tool-condition monitoring and prognostics

(2014) A. H. Ammouri et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Sparse representation and its applications in micro-milling condition monitoring: noise separation and tool condition monitoring

(2013) Kunpeng Zhu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Applying the self-organization feature map (SOM) algorithm to AE-based tool wear monitoring in micro-cutting

(2012) Chia-Liang Yen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Analytical computation of an AC machine external magnetic field

(2009) R. Romary et al.   EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS

A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform

(2008) M. Riera-Guasp et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS