A Neuro-Fuzzy Approach Based Tool Condition Monitoring in AISI H13 Milling

doi 10.20944/preprints201807.0447.v1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

A Multisensor Fusion Method for Tool Condition Monitoring in Milling

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2018English

Applicability of Tool Condition Monitoring Methods Used for Conventional Milling in Micromilling: A Comparative Review

Journal of Industrial Engineering
2014English

Tool Condition Monitoring System Based on a Texture Descriptors

International Journal of Industrial Engineering and Management
AccountingManagementManufacturing EngineeringBusinessIndustrial
2018English

A Neuro-Fuzzy Based Approach to Object Tracking and Motion Prediction

International Journal of Science and Engineering Applications
2017English

Design of Bang-Bang Controller Based on a Fuzzy-Neuro Approach

English

Hybrid Network of Neuro-Fuzzy Based Decision Tool for Stock Market Analysis

International Journal of Computer Applications
2013English

Cardiac Arrhythmia Diagnosis Using a Neuro-Fuzzy Approach

Journal of Mechanics in Medicine and Biology
Biomedical Engineering
2010English

Effects of Thermal Erosion and Wear Resistance on AISI H13 Tool Steel by Various Surface Treatments

Materials Transactions
Mechanics of MaterialsMaterials ScienceCondensed Matter PhysicsMechanical Engineering
2012English

Deep Stacked Auto-Encoder Network Based Tool Wear Monitoring in the Face Milling Process

Strojniski Vestnik/Journal of Mechanical Engineering
Mechanics of MaterialsMechanical Engineering
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy