Related references
Note: Only part of the references are listed.Tool condition monitoring of aluminum oxide grinding wheel using AE and fuzzy model
Felipe Aparecido Alexandre et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
Smart-sensor for tool-breakage detection in milling process under dry and wet conditions based on infrared thermography
Juan A. Ramirez-Nunez et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2018)
Improving deep neural networks with multi-layer maxout networks and a novel initialization method
Weichen Sun et al.
NEUROCOMPUTING (2018)
Structural Health Monitoring of a Composite Panel Based on PZT Sensors and a Transfer Impedance Framework
Michal Dziendzikowski et al.
SENSORS (2018)
Damage Evaluation of Concrete Column under Impact Load Using a Piezoelectric-Based EMI Technique
Shuli Fan et al.
SENSORS (2018)
A Novel Damage Indicator Based on the Electromechanical Impedance Principle for Structural Damage Identification
Pin Zhou et al.
SENSORS (2018)
A Review of the Piezoelectric Electromechanical Impedance Based Structural Health Monitoring Technique for Engineering Structures
Wongi S. Na et al.
SENSORS (2018)
Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs
Banfu Yan et al.
SENSORS (2018)
Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface
Thanh-Canh Huynh et al.
SENSORS (2018)
Digital signal processing of acoustic emission signals using power spectral density and counts statistic applied to single-point dressing operation
Wenderson Nascimento Lopes et al.
IET SCIENCE MEASUREMENT & TECHNOLOGY (2017)
Effects of dressed wheel topography on patterned surface textures and grinding force
Yueming Liu et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)
A novel technique for dressing metal-bonded diamond grinding wheel with abrasive waterjet and touch truing
Zhenzhong Zhang et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2017)
Performance of three transducer mounting methods in impedance-based structural health monitoring applications
Ricardo Zanni Mendes da Silveira et al.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES (2017)
CVD diamond metallization and characterization
D. Fraimovitch et al.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2017)
A Sensor Data Fusion System Based on k-Nearest Neighbor Pattern Classification for Structural Health Monitoring Applications
Jaime Vitola et al.
SENSORS (2017)
Experimental and numerical analysis of thermal phenomena in the wear of single point diamond dressing tools
I. Pombo et al.
JOURNAL OF MANUFACTURING PROCESSES (2017)
Investigation of a new experimental method for damage assessment of RC beams failing in shear using piezoelectric transducers
Maristella E. Voutetaki et al.
ENGINEERING STRUCTURES (2016)
Development of non-contact structural health monitoring system for machine tools
Deepam Goyal et al.
Journal of Applied Research and Technology (2016)
Dry-dressing for ecological grinding
X. Cearsolo et al.
JOURNAL OF CLEANER PRODUCTION (2016)
Spectral estimation of vibration signal for monitoring the wear of single-point dresser
Pedro de Oliveira Conceicao Junior et al.
MATERIA-RIO DE JANEIRO (2016)
Neural networks tool condition monitoring in single-point dressing operations
Doriana M. D'Addona et al.
RESEARCH AND INNOVATION IN MANUFACTURING: KEY ENABLING TECHNOLOGIES FOR THE FACTORIES OF THE FUTURE - PROCEEDINGS OF THE 48TH CIRP CONFERENCE ON MANUFACTURING SYSTEMS (2016)
Grinding process monitoring based on electromechanical impedance measurements
Marcelo Marchi et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2015)
Damage Evaluation in Shear-Critical Reinforced Concrete Beam using Piezoelectric Transducers as Smart Aggregates
Constantin E. Chalioris et al.
OPEN ENGINEERING (2015)
Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models
Cesar H. R. Martins et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2014)
A Study of Concrete Slab Damage Detection Based on the Electromechanical Impedance Method
Xianyan Hu et al.
SENSORS (2014)
An Experimental Study on the Effect of Temperature on Piezoelectric Sensors for Impedance-Based Structural Health Monitoring
Fabricio G. Baptista et al.
SENSORS (2014)
Damage detection in concrete structures using a simultaneously activated multi-mode PZT active sensing system: numerical modelling
Costas P. Providakis et al.
STRUCTURE AND INFRASTRUCTURE ENGINEERING (2014)
Neural network approach for damaged area location prediction of a composite plate using electromechanical impedance technique
S. Na et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2013)
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
D. H. Pandya et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity
Jiyoung Min et al.
ENGINEERING STRUCTURES (2012)
CHMM for tool condition monitoring and remaining useful life prediction
Mei Wang et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2012)
A novel dressing technique for texturing of ground surfaces
J. F. G. Oliveira et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY (2010)
Optimal Frequency Range Selection for PZT Transducers in Impedance-Based SHM Systems
Fabricio Guimaraes Baptista et al.
IEEE SENSORS JOURNAL (2010)
Sub-Frequency Interval Approach in Electromechanical Impedance Technique for Concrete Structure Health Monitoring
Yaowen Yang et al.
SENSORS (2010)
A New Impedance Measurement System for PZT-Based Structural Health Monitoring
Fabricio Guimaraes Baptista et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2009)
A new method for grinder dressing fault mitigation using real-time peak detection
Adam Brzezinski et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2009)
Feedforward neural network implementation in FPGA using layer multiplexing for effective resource utilization
S. Himavathi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2007)
State-of-the-art methods and results in tool condition monitoring: a review
AG Rehorn et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2005)
Detection of dressing time using the grinding force signal based on the discrete wavelet decomposition
JS Kwak et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2004)
Share Paper
