WO2018225159A1 - Dispositif de traitement d'informations et procédé d'identification de défaut d'usinage - Google Patents

Dispositif de traitement d'informations et procédé d'identification de défaut d'usinage Download PDF

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Publication number
WO2018225159A1
WO2018225159A1 PCT/JP2017/021000 JP2017021000W WO2018225159A1 WO 2018225159 A1 WO2018225159 A1 WO 2018225159A1 JP 2017021000 W JP2017021000 W JP 2017021000W WO 2018225159 A1 WO2018225159 A1 WO 2018225159A1
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WIPO (PCT)
Prior art keywords
processing
program
image
feature amount
machining
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PCT/JP2017/021000
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English (en)
Japanese (ja)
Inventor
健二 西脇
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三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to CN201780078011.3A priority Critical patent/CN110087828B/zh
Priority to PCT/JP2017/021000 priority patent/WO2018225159A1/fr
Priority to JP2018501389A priority patent/JP6366875B1/ja
Publication of WO2018225159A1 publication Critical patent/WO2018225159A1/fr

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    • 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
    • B23Q15/00—Automatic control or regulation of feed movement, cutting velocity or position of tool or work
    • 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
    • B23Q17/24—Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves
    • 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

Definitions

  • the present invention relates to an information processing apparatus and a processing failure specifying method for specifying a processing failure portion of a processing object.
  • the numerical control device reads and executes a numerically controlled machining program in which a movement command for moving a workpiece or a machining tool along a preset path is read and executed, whereby the workpiece and the machining tool are The workpiece is machined by changing the relative position.
  • processing defects may occur in the processing object.
  • the machining tool is displaced from a desired position with respect to the workpiece, or vibration called chatter vibration occurs between the machining tool and the workpiece. It is caused by.
  • Processing defects caused by chatter vibration are also called chatter marks.
  • Patent Document 1 discloses a technique for constantly monitoring the state of a machining center, which is a machine tool, and identifying the cause of processing failure based on monitoring data and image data obtained by photographing a processing surface of a processing target. It is disclosed.
  • the data monitored here includes a current value of the conveyance motor, a current value of the spindle head, vibration temperatures at a plurality of locations on the machine body, and the like.
  • Patent Document 1 it is necessary to constantly monitor the state of the machine tool.
  • a machining program needs to be corrected in order to eliminate machining defects
  • the present invention has been made in view of the above, and it is an object of the present invention to obtain an information processing apparatus and a processing defect identification method capable of reducing the time taken to eliminate processing defects when processing defects occur. To do.
  • the information processing apparatus of the present invention is a processing defect portion of a processing object based on an image feature amount calculated from image data obtained by photographing the processing object after processing. And specify the part of the machining program that describes the operation for machining the defective part based on the program feature value calculated from the machining program for machining the workpiece and the image feature value. It is characterized by including a processing defect specifying part.
  • the information processing apparatus has an effect that it is possible to reduce the time required for eliminating the processing failure when the processing failure occurs.
  • the figure which shows the structure of the information processing apparatus concerning Embodiment 1 of this invention The figure which shows the command position which the program feature-value calculation part shown in FIG. 1 calculates The figure which shows the program feature-value which the program feature-value calculation part shown in FIG. 1 calculates The figure which shows the image data which the image reading part shown in FIG. 1 reads The figure which shows the image feature-value calculated from the image data shown in FIG.
  • movement of the information processing apparatus shown in FIG. The figure which shows the structure of the information processing apparatus concerning Embodiment 2 of this invention.
  • FIG. 8 displays The flowchart which shows operation
  • FIG. 1 is a diagram illustrating the configuration of the information processing apparatus 1 according to the first embodiment of the present invention.
  • the information processing apparatus 1 performs a process of specifying a processing defect that occurs in a processing target processed by a processing tool.
  • the information processing apparatus 1 uses a machining program 2 for machining a machining object by changing a relative position between the machining tool and the machining object, and image data 24 obtained by photographing the machining object.
  • image data 24 obtained by photographing the machining object.
  • the workpiece is also called a workpiece.
  • the information processing apparatus 1 includes a program command reading unit 3, a program feature amount calculation unit 4, an image reading unit 5, an image feature amount calculation unit 6, a collation unit 8, a processing defect specifying unit 13, and a display unit 9. And have.
  • the program command reading unit 3 reads the machining program 2 composed of a plurality of blocks and inputs it to the program feature amount calculation unit 4. Based on the input machining program 2, the program feature value calculation unit 4 calculates a feature value indicating the shape of the workpiece after machining for each block of the machining program 2.
  • the program feature 41 is an edge shape including the edge 32 of the workpiece and the edge 33 of the machining shape calculated from the command position, the line segment length of each block, the curvature, the machining direction, the pitch width, and the like.
  • the program feature quantity calculation unit 4 inputs the calculated program feature quantity 41 to the collation unit 8.
  • FIG. 2 is a diagram showing the command position 35 calculated by the program feature quantity calculation unit 4 shown in FIG.
  • the machining program 2 describes a plurality of command positions 35 indicating the shape of the workpiece after machining.
  • W X, W Y shows a plurality of command position 35 in the three-dimensional space defined by three axes of W Z.
  • FIG. 3 is a diagram showing the program feature 41 calculated by the program feature calculator 4 shown in FIG.
  • the program feature value 41 includes a command position 35, an edge 32 of a processing object, and an edge 33 of a processing shape.
  • the image reading unit 5 reads the image data 24 obtained by photographing the processing surface of the processing object, and inputs the read image data 24 to the image feature amount calculation unit 6.
  • the image data 24 read by the image reading unit 5 may be a part of moving image data.
  • the image feature amount calculation unit 6 analyzes the image data 24 input from the image reading unit 5 and calculates an image feature amount.
  • the image feature 40 is calculated using an image analysis method such as edge detection or binarization.
  • the image feature quantity calculation unit 6 inputs the calculated image feature quantity 40 to the collation unit 8.
  • FIG. 4 is a diagram showing the image data 24 read by the image reading unit 5 shown in FIG.
  • the image data 24 includes a part of the processing target, but the image data 24 may include the entire processing target.
  • FIG. 5 is a diagram showing the image feature 40 calculated from the image data 24 shown in FIG.
  • the image feature 40 indicates an edge shape including the edge 32 indicating the outer periphery of the object to be processed, the edge 33 of the processed shape, and the edge 34 of the defective processing portion, the processing direction, the pitch width, and the like.
  • the collation unit 8 collates the program feature value 41 input from the program feature value calculation unit 4 with the image feature value 40 input from the image feature value calculation unit 6, and processes the object in the image data 24. And the part in the machining program 2 in which the operation for machining this part is described.
  • the collation unit 8 compares the edge 32 indicating the outer periphery of the processing object calculated as the program feature 41 with the edge 32 indicating the outer periphery of the processing object calculated as the image feature 40 and matches the feature amounts.
  • the program feature value 41 and the image feature value 40 are made to correspond to each other.
  • the collation unit 8 may perform collation using feature quantities other than the edge 32 such as the scanning line direction of processing, the pitch width, and the edge 33 of the processing shape.
  • the collation unit 8 can also perform collation using a plurality of types of feature amounts.
  • the matching unit 8 perform matching using the edge 32 indicating the outer periphery of the processing object.
  • the collation unit 8 perform collation using feature amounts such as the edge 33 of the machining shape and the pitch width. Note that the matching unit 8 may determine that the feature amounts match when the difference between the feature amounts is within a predetermined error range.
  • the collation unit 8 may accept input of information indicating the correspondence from the user and perform collation based on the received information. Alternatively, the collation unit 8 outputs a plurality of candidates when a plurality of matching portions are found as a result of the collation, and allows the user to select the correspondence between the processing object of the image data 24 and the processing program 2. Also good.
  • the processing defect specifying unit 13 specifies the position of the processing defect portion in the processing object based on the image feature amount 40, and determines the processing defect portion in the processing program 2 based on the image feature amount 40 and the program feature amount 41. Specify the part that describes the operation to be processed.
  • the processing defect specifying unit 13 specifies the edge 34 of the processing defect portion based on the image feature 40.
  • the processed surface may not be a flat surface, and boundaries between a plurality of cutting surfaces formed by the cutting may be formed.
  • the protruding part formed at this boundary is called a cusp.
  • the cusp has a uniform height, and when the edge is detected from the image data 24, a uniform value is detected.
  • the processing failure specifying unit 13 uses the verification result of the verification unit 8 to specify the portion describing the operation of processing the processing failure portion in the processing program 2.
  • the processing defect specifying unit 13 inputs the position information of the processing defect part and the part describing the operation of processing the processing defect part in the processing program 2 to the display unit 9.
  • the display unit 9 generates a display screen based on the input information, and causes the display device to display the generated display screen.
  • FIG. 6 is a diagram showing a display screen displayed by the display unit 9 shown in FIG.
  • a diagram is shown in which the edge 32 of the object to be processed and the edge 34 of the processing defect part, which are the image feature 40, and the processing defect specifying part 36 are superimposed on the image data 24.
  • a diagram in which the machining program block 31 of the machining defect specifying portion is superimposed on a diagram in which the command position 35 as the program feature 41 is three-dimensionally displayed is shown.
  • the display unit 9 may display a plurality of diagrams shown in FIG.
  • FIG. 6 shows only one machining defect specifying part and a machining program block for the machining defect specifying part. However, when a plurality of machining defect parts are specified, a plurality of machining defect specifying parts are displayed as image data 24. It may be shown superimposed on the top, or when a plurality of processing program blocks of the processing defect specifying portion are collated, a plurality of processing program blocks may be shown superimposed on the image data 24.
  • FIG. 7 is a flowchart showing the operation of the information processing apparatus 1 shown in FIG.
  • the program command reading unit 3 acquires the processing program 2, and the image reading unit 5 acquires image data 24.
  • the program command reading unit 3 inputs the acquired machining program 2 to the program feature amount calculation unit 4, and the image reading unit 5 inputs the acquired image data 24 to the image feature amount calculation unit 6 (step S11).
  • the image feature amount calculation unit 6 calculates an image feature amount 40 from the input image data 24 (step S12).
  • the program feature value calculation unit 4 calculates a program feature value 41 from the input machining program 2 (step S13).
  • the collation unit 8 collates the program feature quantity 41 and the image feature quantity 40 to obtain a part of the processing object in the image data 24 and a part of the processing program 2 in which an operation for processing the part is described. Make it correspond. At this time, the collation unit 8 sets a comparison range to be compared with the image feature 40 in the program feature 41, and collates the program feature 41 in the comparison range with the image feature 40 (step S14). The collation unit 8 determines whether the corresponding feature amount has been specified (step S15). When the corresponding feature amount cannot be specified (step S15: No), the collation unit 8 changes the comparison range of the program feature amount 41 (step 16), and executes step S14 again. Although not shown, when there is no comparison range candidate, it is determined that there is no correlation between the processing program 2 and the image data 24, and the process ends.
  • the processing defect specifying unit 13 specifies the processing defect portion using the image feature amount 40 (step S17).
  • the processing defect specifying unit 13 specifies a processing program block of the processing defect specifying part.
  • the processing defect specifying unit 13 inputs the processing defect specifying part and the processing program block of the processing defect specifying part to the display unit 9 (step S18).
  • the display unit 9 outputs the machining defect specifying part and the machining program block of the machining defect specifying part (step S19).
  • the image data 24 obtained by photographing the processing object and the relative position between the processing tool and the processing object are changed to process the processing object.
  • the machining program 2 it is possible to specify the position of the machining defect part of the workpiece and the part of the machining program 2 describing the operation for machining the machining defect part.
  • FIG. FIG. 8 is a diagram showing a configuration of the information processing apparatus 10 according to the second embodiment of the present invention.
  • symbol is attached
  • the information processing apparatus 10 includes a program command reading unit 3, a program feature amount calculation unit 4, an interpolation unit 11, a motor control unit 12, a control data feature amount calculation unit 15, an image reading unit 5, and an image feature amount. It has the calculation part 6, the collation part 8, the process defect specific
  • the program command reading unit 3 inputs the read machining program 2 to the interpolation unit 11 and the program feature value calculation unit 4.
  • the interpolation unit 11 interpolates the command position of the machining tool indicated by the read machining program 2 for each block, and inputs the command position after the interpolation to the motor control unit 12 and the control data feature value calculation unit 15.
  • the motor control unit 12 controls a transport device for moving the processing tool or the table to which the processing target is attached based on the command position after interpolation. When the transfer device moves the position of the processing tool or the processing target, the relative position between the processing tool and the processing target changes, and the processing target is processed by the processing tool.
  • the motor control unit 12 inputs a feedback position indicating a position where the machining tool or the table is actually moved to the control data feature amount calculation unit 15 based on the commanded position after interpolation.
  • the command position and the feedback position after interpolation are also called control data.
  • the program feature value calculation unit 4 calculates a program feature value 41 from the machining program 2 and inputs the calculated program feature value 41 to the verification unit 8.
  • the control data feature quantity calculator 15 calculates a control data feature quantity, which is a feature quantity of the control data, from the control data including the interpolated command position and feedback position, and sends the calculated control data feature quantity to the collation section 8. input.
  • Control data feature values include command position after interpolation, feedback position, actual feed speed, which is the moving speed of the machining tool, machining tool movement direction, pitch error correction amount, servo motor error correction amount, machining modal information, ideal passing Speed, curvature, radius of curvature, etc.
  • the control data feature value is input to the collation unit 8.
  • the collation unit 8 collates the program feature quantity 41 and the image feature quantity 40, similarly collates the image feature quantity 40 and the control data feature quantity, and processes the part to be processed and the part in the image data 24.
  • the control data to be associated is made to correspond.
  • the cause identifying unit 14 identifies the cause of the processing failure based on the image feature 40 and the control data feature. Specifically, the cause identifying unit 14 identifies the control data feature amount associated with the defective machining portion as the control data feature amount that causes the defective machining.
  • the cause identifying unit 14 may further analyze the control data feature quantity associated with the machining defect portion to narrow down the control data feature quantity causing the machining defect.
  • the cause identification unit 14 compares the actual feed speed, which is the moving speed of the machining tool, with the ideal passing speed, and confirms whether or not the actual feeding speed exceeds the ideal passing speed.
  • the cause identification unit 14 compares the control data feature amount associated with the machining failure portion with the control data feature amount associated with other than the machining failure portion, and shows a control that shows a tendency different from that other than the machining failure portion.
  • a data feature amount may be specified.
  • the cause identifying unit 14 outputs the control data feature quantity identified as the cause of the machining failure as machining failure factor data.
  • the cause identifying unit 14 can also analyze a countermeasure for eliminating the processing failure based on the processing failure factor data. When the actual feed speed is too high, which is the cause of the machining failure, the cause identifying unit 14 can output the machining condition of reducing the feed speed of the machining tool as a measure for eliminating the machining failure.
  • the display unit 9 can further display a display screen indicating the cause of the processing failure, a display screen indicating a measure for eliminating the processing failure, and the like.
  • FIG. 9 is a diagram showing a display screen 42 that displays the cause of the processing failure displayed by the display unit 9 shown in FIG.
  • the display screen 42 shows the actual feed speed superimposed on the image data 24.
  • a solid line arrow 43 indicates that the actual feed speed is faster than a predetermined threshold, and a broken line arrow 44 indicates that the actual feed speed is slower than a predetermined threshold.
  • the display unit 9 may present a measure for eliminating the processing failure on the display screen 42. For example, when the chatter mark is generated in the defective processing portion, the display unit 9 presents as a countermeasure to change the spindle rotation speed.
  • the display unit 9 can project and display the control data feature amount on the image data 24 in accordance with the photographing angle of the image data 24 with respect to the processing object.
  • FIG. 10 is a flowchart showing the operation of the information processing apparatus 10 shown in FIG. Note that the information processing apparatus 10 performs the operation illustrated in FIG. 10 in addition to the operation illustrated in FIG. 7.
  • the control data feature quantity calculation unit 15 calculates the feature quantity of the control data (step S30).
  • the collation unit 8 collates the control data feature quantity and the image feature quantity 40, and determines whether or not the control data feature quantity and the image feature quantity 40 match (step S31).
  • the collation unit 8 changes the comparison range of the control data feature quantity (step S32) and repeats the process of step S31.
  • the cause identifying unit 14 identifies the cause of the processing failure, generates processing failure factor data, and generates the generated processing failure factor data. Is output (step S33).
  • the display unit 9 presents a machining defect countermeasure from the machining defect factor data output by the cause identifying unit 14 (step S34).
  • control data that causes processing defects is identified. It becomes possible to do. It may take time to determine how to modify the machining program 2 simply by specifying a portion in which an operation for machining a portion that has become a machining defect in the machining program 2 is specified. In the second embodiment, it is possible to specify the state of the control data when the processing failure occurs and how the control data can be resolved. It is possible to further reduce the time taken to eliminate the defect.
  • FIG. FIG. 11 is a diagram showing a configuration of the information processing apparatus 100 according to the third embodiment of the present invention.
  • the information processing apparatus 100 includes an image position calculation unit 7 in addition to the configuration of the information processing apparatus 10 according to the second embodiment.
  • the image position calculation unit 7 is a processing target of the image data 24 such as the mounting position of the imaging device from the imaging device that captured the image data 24, the rotation angle of the table or processing tool to which the processing target is fixed, the focal length at the time of image capturing, etc. Information for specifying a position in an object is acquired. The image position calculation unit 7 calculates the position of the entire processing object shown in the image data 24 based on the acquired information.
  • FIG. 12 is a diagram illustrating variations in the positional relationship between the image capturing device 53 that captures the image data 24 processed by the information processing apparatus 100 illustrated in FIG. 11 and the object to be processed.
  • the first case 50 shows a case where the imaging device 53 is installed at fixed coordinates. After the processing, the processing object is stored in the viewing angle of the imaging device 53, and the processing surface of the processing object is photographed. In this case, since the position of the image pickup device 53 is fixed, it is possible to calculate the position of the processing object when the image is taken.
  • the second case 51 shows a case where the imaging device 53 is attached to the main shaft 54 to which the processing tool is attached. Since the image pickup device 53 moves with the main shaft 54, the information processing apparatus 100 can calculate the position of the image pickup device 53.
  • the image position calculation unit 7 can calculate the coordinate system of the image data 24 based on the focal length from the camera position to the processing surface, the mounting angle of the imaging device 53, and the mounting position.
  • the object to be processed is fixed, and when the main shaft 54 to which the processing tool is attached moves, the conveying device that moves the main shaft 54 is such that the image pickup machine 53 and the processing object are shorter than the shortest focal distance.
  • the movement of the main shaft 54 can be restricted so as not to approach. In this case, it is possible to avoid a collision between the image pickup device 53 and the processing target object, and it is possible to avoid a situation where the image pickup device 53 and the processing target object are too close to be able to focus and image. is there.
  • a third case 52 shown in FIG. 12 shows a case where the image data 24 is photographed by using an imaging device 53 that is not fixed.
  • the built-in GPS data and the initial camera position can be set, and the position and angle at the time of shooting can be grasped by a built-in acceleration sensor, gyro sensor, or the like.
  • the image position calculation unit 7 can calculate the coordinate system of the processing surface of the processing target based on the position, angle, and focal length at the time of shooting.
  • FIG. 12 shows a mixed tilt configuration
  • the image position is calculated from the position of the image pickup device 53 but also an object whose coordinates and scale are known with respect to the photographed image, for example, an object which describes the coordinate direction or the coordinates or scale such as a ruler. May be taken together with the processed surface of the processing object. Since the size and line-of-sight direction of the photographed machining surface can be known from the coordinate system and scale reflected in the image data 24, the machining program 2 and the feature quantity of the machining surface can be matched more accurately.
  • FIG. 13 is a diagram showing a hardware configuration of the information processing apparatuses 1, 10, and 100 according to the first to third embodiments of the present invention.
  • the memory 61 is a storage unit that stores a computer program executed by the processor 62 and data generated during the execution of the computer program.
  • the memory 61 is a RAM (Random Access Memory), a ROM (Read Only Memory), a nonvolatile or volatile semiconductor memory such as a flash memory, a magnetic disk, or the like.
  • the processor 62 is a processing circuit that reads and executes a computer program stored in the memory 61.
  • the processor 62 is a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, a DSP (Digital Signal Processor), or the like.
  • the display device 63 is a liquid crystal display device, an organic EL (Electro-Luminescence) display device, or the like.
  • the function of the display unit 9 can be realized by the processor 62 reading out and executing the computer program stored in the memory 61 and controlling the display device 63.
  • Program command reading unit 3 program feature amount calculating unit 4, image reading unit 5, image feature amount calculating unit 6, collating unit 8, processing defect specifying unit 13, interpolation unit 11, motor control unit 12, control data feature amount calculating unit 15.
  • the functions of the cause identification unit 14 and the image position calculation unit 7 can be realized by the processor 62 reading out and executing the computer program stored in the memory 61.
  • the configuration described in the above embodiment shows an example of the contents of the present invention, and can be combined with another known technique, and can be combined with other configurations without departing from the gist of the present invention. It is also possible to omit or change the part.
  • 1,10,100 Information processing device 2 machining program, 3 program command reading unit, 4 program feature amount calculating unit, 5 image reading unit, 6 image feature amount calculating unit, 7 image position calculating unit, 8 collating unit, 9 display 11, 11 interpolation unit, 12 motor control unit, 13 machining defect identification unit, 14 cause identification unit, 15 control data feature quantity calculation unit, 24 image data, 31 machining program block of machining defect identification part, 32 edge of machining object , 33 machining shape edge, 34 machining defect edge, 35 command position, 36 machining defect identification part, 40 image feature value, 41 program feature value, 42 display screen, 43 solid line arrow, 44 broken line arrow, 50th 1 case, 51 second case, 52 third case, 53 imager, 54 spindle, 1 memory, 62 processor, 63 display device.

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  • Human Computer Interaction (AREA)
  • Manufacturing & Machinery (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
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Abstract

La présente invention concerne un dispositif de traitement d'informations (1) caractérisé en ce qu'il comprend une unité d'identification de défaut d'usinage (13) qui identifie, sur la base d'une valeur de caractéristique d'image (40) calculée à partir des données d'image capturant une pièce à travailler après l'usinage, un défaut d'usinage dans la pièce à travailler et qui identifie, sur la base d'une valeur de caractéristique de programme (41) calculée à partir d'un programme d'usinage (2) pour l'usinage d'une pièce à travailler et la valeur de caractéristique d'image (40), la section du programme d'usinage (2) où l'opération d'usinage du défaut d'usinage est décrite.
PCT/JP2017/021000 2017-06-06 2017-06-06 Dispositif de traitement d'informations et procédé d'identification de défaut d'usinage WO2018225159A1 (fr)

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CN201780078011.3A CN110087828B (zh) 2017-06-06 2017-06-06 信息处理装置及加工不良确定方法
PCT/JP2017/021000 WO2018225159A1 (fr) 2017-06-06 2017-06-06 Dispositif de traitement d'informations et procédé d'identification de défaut d'usinage
JP2018501389A JP6366875B1 (ja) 2017-06-06 2017-06-06 情報処理装置および加工不良特定方法

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Cited By (7)

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JP2019117477A (ja) * 2017-12-27 2019-07-18 ファナック株式会社 リンク情報生成装置、リンク情報生成方法及びリンク情報生成プログラム
JP2020138254A (ja) * 2019-02-27 2020-09-03 ファナック株式会社 工作機械の加工不良発生予測システム
JPWO2021149646A1 (fr) * 2020-01-22 2021-07-29
WO2022153937A1 (fr) * 2021-01-12 2022-07-21 ファナック株式会社 Dispositif d'affichage
JP2022187256A (ja) * 2021-06-07 2022-12-19 株式会社キャプテン インダストリーズ ビデオカメラを用いた工作機械の異常検出装置
JP7286023B1 (ja) * 2022-01-06 2023-06-02 三菱電機株式会社 加工不良分析装置、加工システム、加工不良分析方法、および、加工方法
WO2023145628A1 (fr) * 2022-01-25 2023-08-03 Dmg森精機株式会社 Machine-outil, procédé de commande et programme de commande

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JP7396857B2 (ja) * 2019-11-01 2023-12-12 ファナック株式会社 表示装置

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