Zhang et al., 2009 - Google Patents
Experimental study and logistic regression modeling for machine condition monitoring through microcontroller-based data acquisition systemZhang et al., 2009
- Document ID
- 7933352787243978576
- Author
- Zhang J
- Nie H
- Publication year
- Publication venue
- Journal of Advanced Manufacturing Systems
External Links
Snippet
Machine condition monitoring plays an important role in machining performance. A machine condition monitoring system will provide significant economic benefits when applied to machine tools and machining processes. By applying Taguchi design method, real-time pilot …
- 238000007477 logistic regression 0 title abstract description 19
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
- G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32234—Maintenance planning
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/35—Nc in input of data, input till input file format
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/45—Nc applications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/50—Machine tool, machine tool null till machine tool work handling
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
- B23Q17/0952—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nakai et al. | Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics | |
Jemielniak et al. | Tool condition monitoring based on numerous signal features | |
Nouri et al. | Real-time tool wear monitoring in milling using a cutting condition independent method | |
Ertekin et al. | Identification of common sensory features for the control of CNC milling operations under varying cutting conditions | |
Ertunc et al. | A decision fusion algorithm for tool wear condition monitoring in drilling | |
Ertunc et al. | Drill wear monitoring using cutting force signals | |
Khorasani et al. | Chatter prediction in turning process of conical workpieces by using case-based resoning (CBR) method and taguchi design of experiment | |
Kious et al. | Detection process approach of tool wear in high speed milling | |
Marani et al. | Prediction of cutting tool wear during a turning process using artificial intelligence techniques | |
Simon et al. | Early detection of drilling tool wear by vibration data acquisition and classification | |
US20040176926A1 (en) | System and method for machining data management | |
CN113741377A (en) | Machining process intelligent monitoring system and method based on cutting characteristic selection | |
CN114905336B (en) | Variable working condition cutter wear monitoring method and system based on cutting force component decoupling | |
Liu et al. | Calibration-based tool condition monitoring for repetitive machining operations | |
Chung et al. | A multi-sensor approach to the monitoring of end milling operations | |
Zheng et al. | Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process | |
JP2019098515A (en) | Blade tool state inspection system and method | |
Miranda et al. | Monitoring single-point dressers using fuzzy models | |
JP2023510463A (en) | Methods for monitoring and/or predicting machining processes and/or machining results | |
CN113211189A (en) | Broaching tool wear and damage quantitative prediction system and method based on vibration signals | |
Stuhr et al. | A flexible similarity-based algorithm for tool condition monitoring | |
CN115922442A (en) | Cutter grinding damage real-time monitoring method based on spindle vibration signal and related device | |
Zhang et al. | Experimental study and logistic regression modeling for machine condition monitoring through microcontroller-based data acquisition system | |
JP6712236B2 (en) | Abnormal sign detection system and abnormal sign detection method | |
Wang et al. | Study of an efficient real-time monitoring and control system for BUE and cutter breakage for CNC machine tools |