Method and system for machine tool health early warning monitoring
US-2017131710-A1 · May 11, 2017 · US
US11188518B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11188518-B2 |
| Application number | US-201716651476-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 30, 2017 |
| Priority date | Sep 30, 2017 |
| Publication date | Nov 30, 2021 |
| Grant date | Nov 30, 2021 |
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The present invention related to the technical field of industrial automation, in particular to a method and apparatus for generating a fault diagnosis database of a CNC machine tool, intended to conveniently provide comprehensive fault diagnosis information. The method comprises: setting a fault condition of the CNC machine tool; running a simulation model of the CNC machine tool under each set fault condition to generate fault, and recording a fault phenomenon of the fault; backtracking a possible fault generating each fault phenomenon, to establish an association between the fault phenomenon and a possible fault generating the fault phenomenon; generating a fault diagnosis database of the CNC machine tool according to the association established. Due to the fact that what is being run is a simulation model of the CNC machine tool, various fault conditions can be conveniently set. The fault diagnosis database established by the method has the advantage of comprehensive coverage of fault situations and abundant fault diagnosis information. The result of performing fault diagnosis on the basis of such a fault diagnosis database is more accurate.
Opening claim text (preview).
The invention claimed is: 1. A method for generating a fault diagnosis database of a CNC (Computer Numerical Control) machine tool, comprising: setting at least one fault condition of the CNC machine tool; running a first simulation model of the CNC machine tool under each set fault condition respectively to generate a fault, and recording at least one fault phenomenon of the fault; for each fault phenomenon recorded, backtracking at least one possible fault generating the fault phenomenon, to establish at least one association between the fault phenomenon and at least one possible fault generating the fault phenomenon including establishing a reverse fault propagation path of the fault phenomenon; and generating a first fault diagnosis database of the CNC machine tool according to the at least one association established, the generating including, generating a fault propagation model as the first fault diagnosis database according to the established reverse fault propagation path of the at least one fault phenomenon. 2. The method as claimed in claim 1 , wherein the at least one fault condition satisfies one of the following situations: the at least one fault condition involves all components of the CNC machine tool, and each of the at least one fault condition only involves one component of the CNC machine tool; and the at least one fault condition involves all components of the CNC machine tool, and each of a portion of or all of the at least one fault condition involves at least two components of the CNC machine tool. 3. The method as claimed in claim 1 , further comprising: setting a semantic description of each fault phenomenon and recording same in the first fault diagnosis database, and setting a semantic description of each fault and recording same in the first fault diagnosis database. 4. The method as claimed in claim 1 , further comprising: running a second simulation model of the CNC machine tool under each of the at least one set fault condition respectively to generate a second fault diagnosis database; and using the second fault diagnosis database to correct the first fault diagnosis database. 5. An apparatus for generating a fault diagnosis database of a CNC machine tool, comprising: at least one memory for storing a machine-readable program; and at least one processor, for calling the machine-readable program, to perform the following steps: setting at least one fault condition of the CNC machine tool, running a first simulation model of the CNC machine tool under each set fault condition respectively to generate a fault, and recording at least one fault phenomenon of the fault, for each fault phenomenon recorded, backtracking at least one possible fault generating the fault phenomenon, to establish at least one association between the fault phenomenon and at least one possible fault generating the fault phenomenon, and generating a first fault diagnosis database of the CNC machine tool according to the at least one association established, wherein when calling the machine-readable program to establish the at least one association between the fault phenomenon and the at least one possible fault generating the fault phenomenon, the at least one processor is configured to establish a reverse fault propagation path of the fault phenomenon, and when calling the machine-readable program to generate the first fault diagnosis database according to the at least one association established, the at least one processor is configured to generate a fault propagation model as the first fault diagnosis database according to the established reverse fault propagation path of the at least one fault phenomenon. 6. The apparatus as claimed in claim 5 , wherein the at least one fault condition satisfies one of the following situations: the at least one fault condition involves all components of the CNC machine tool, and each of the at least one fault condition only involves one component of the CNC machine tool; and the at least one fault condition involves all components of the CNC machine tool, and each of a portion of or all of the at least one fault condition involves at least two components of the CNC machine tool. 7. The apparatus as claimed in claim 5 , wherein when calling the machine-readable program, the at least one processor is further configured to perform: setting a semantic description of each fault phenomenon and record same in the first fault diagnosis database, and setting a semantic description of each fault and record same in the first fault diagnosis database. 8. The apparatus as claimed in claim 5 , wherein when calling the machine-readable program, the at least one processor is further configured to perform: running a second simulation model of the CNC machine tool under each of the at least one set fault condition respectively to generate a second fault diagnosis database; and using the second fault diagnosis database to correct the first fault diagnosis database. 9. A machine-readable medium having a machine-readable instruction stored thereon which, when executed by at least one processor, causes the at least one processor to perform: setting at least one fault condition of a CNC (Computer Numerical Control) machine tool; running a first simulation model of the CNC machine tool under each set fault condition respectively to generate a fault, and recording at least one fault phenomenon of the fault; for each fault phenomenon recorded, backtracking at least one possible fault generating the fault phenomenon, to establish at least one association between the fault phenomenon and at least one possible fault generating the fault phenomenon including establishing a reverse fault propagation path of the fault phenomenon; and generating a first fault diagnosis database of the CNC machine tool according to the at least one association established, the generating including, generating a fault propagation model as the first fault diagnosis database according to the established reverse fault propagation path of the at least one fault phenomenon. 10. The machine-readable medium as claimed in claim 9 , wherein the at least one fault condition satisfies one of the following situations: the at least one fault condition involves all components of the CNC machine tool, and each of the at least one fault condition only involves one component of the CNC machine tool; and the at least one fault condition involves all components of the CNC machine tool, and each of a portion of or all of the at least one fault condition involves at least two components of the CNC machine tool. 11. The machine-readable medium as claimed in claim 9 , having the machine-readable instruction stored thereon which, when executed by the at least one processor, causes the at least one processor to perform: setting a semantic description of each fault phenomenon and recording same in the first fault diagnosis database, and setting a semantic description of each fault and recording same in the first fault diagnosis database. 12. The machine-readable medium as claimed in claim 9 , having the machine-readable instruction stored thereon which, when executed by the at least one processor, causes the at least one processor to perform: running a second simulation model of the CNC machine tool under each of the at least one set fault condition respectively to generate a second fault diagnosis database; and using the second fault diagnosis database to correct the first fault diagnosis database.
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