Nothing Special   »   [go: up one dir, main page]

Yang et al., 2021 - Google Patents

Electrical system design and fault analysis of machine tool based on automatic control

Yang et al., 2021

View PDF
Document ID
7188050610536393768
Author
Yang Y
Wu H
Ma J
Publication year
Publication venue
International journal of automation technology

External Links

Snippet

Automatically controlled machine tools have been used extensively in the industrial field, and fault analysis methods have garnered increasing attention. This paper first describes the software and hardware design of a machine tool and then presents a fault analysis of the …
Continue reading at www.jstage.jst.go.jp (PDF) (other versions)

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
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task 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
    • 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
    • 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
    • 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
    • G05B2219/50109—Soft approach, engage, retract, escape, withdraw path for tool to workpiece
    • 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
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • 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
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric

Similar Documents

Publication Publication Date Title
Chen et al. Toward intelligent machine tool
Huang et al. Thermal error modeling by integrating GA and BP algorithms for the high-speed spindle
CN103823409B (en) Digit Control Machine Tool machining state multiparameter online actively monitoring system and its implementation
Zhu et al. A cyber-physical production system framework of smart CNC machining monitoring system
Chen et al. CPS modeling of CNC machine tool work processes using an instruction-domain based approach
Cheng et al. High-accuracy unsupervised fault detection of industrial robots using current signal analysis
CN104808585B (en) A kind of quick inspection method of lathe health status
CN102929210A (en) Control and optimization system for feature-based numerical control machining process and control and optimization method therefor
Kiswanto Digital twin approach for tool wear monitoring of micro-milling
CN111596615A (en) An online monitoring and control system for CNC machine tools
Jaber et al. The state of the art in research into the condition monitoring of industrial machinery
Huang et al. Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations
Yang et al. Electrical system design and fault analysis of machine tool based on automatic control
Deng et al. A hybrid model using genetic algorithm and neural network for process parameters optimization in NC camshaft grinding
Hu et al. Error prediction of balancing machine calibration based on machine learning method
El Kihel et al. Method of Implementing Maintenance 4.0 in Industry-A Case Study of an Industrial System
Satrianata et al. EXAMINING OPTIMAL CONTROL THROUGH THE APPLICATION OF (LQR) AND (LQT) APPROACHES IN THE CONTEXT OF DC MOTORS
Eski Vibration analysis of drilling machine using proposed artificial neural network predictors
Uluocak et al. Model predictive control coupled with artificial intelligence for eddy current dynamometers
He et al. Unified diagnostic and matching framework of fault and quality for robotic grinding system
Neugebauer et al. Modelling feed drives based on natural excitation—improving accuracy
Schmidt et al. Automation in production integrated NDT using thermography
Hong et al. Intelligent anomaly detection of robot manipulator based on energy consumption auditing
Lu et al. Online process monitoring based on proprioceptive signals for robotic grinding
Wang Error analysis and fault diagnosis of CNC machine tools under artificial intelligence technology