Machining failure detection device, laser cutting apparatus, and electric discharge machining apparatus

1. A laser cutting apparatus, comprising:

a machining failure detection device including:

a processor to execute a program: and

a memory to store the program that, when executed by the processor, performs:

a machining light measurement process of measuring machining light generated at a machining point during machining;

a machining sound measurement process of measuring machining sound generated at the machining point; and

a computation process of determining whether a machining failure has occurred in the machining, wherein

the computation process includes:

a feature extraction process of extracting a machining light feature from a machining light signal measured by the machining light measurement process, and extracting a machining sound feature from a machining sound signal measured by the machining sound measurement process;

a determination value calculation process of calculating a combined failure determination value on a basis of the machining light feature and the machining sound feature; and

a determination process of comparing the combined failure determination value with a determination criterion to determine whether the machining failure has occurred, wherein

the determination value calculation process calculates the combined failure determination value by weighting the machining light feature and the machining sound feature, as defined in accordance with a machining condition, and combining the weighted features,

wherein the machining is laser cutting,

the laser cutting apparatus further comprising:

a stage on which a workpiece to be subjected to the laser cutting is placed:

a laser oscillator; and

a machining head that irradiates the machining point with laser light from the laser oscillator.

2. The laser cutting apparatus according to claim 1 , wherein the determination value calculation process obtains a combined feature by performing computation processing on the machining light feature and the machining sound feature, the computation processing being defined in accordance with a machining condition or in accordance with a type of machining failure and a machining condition, and the determination value calculation process calculates the combined failure determination value, using the combined feature.

3. The laser cutting apparatus according to claim 2 , wherein

the feature extraction process extracts m (m is a natural number) types of the machining light features and n (n is a natural number) types of the machining sound features,

the determination value calculation process calculates the combined feature by performing the computation processing, using the m types of machining light features and the n types of machining sound features, the computation processing being defined in accordance with the machining condition or in accordance with the type of machining failure and the machining condition, and

at least one of m and n is a natural number of two or more.

4. A laser cutting apparatus, comprising:

a machining failure detection device including:

a processor to execute a program; and

a memory to store the program that, when executed by the processor, performs:

a machining light measurement process of measuring machining light generated at a machining point during machining;

a machining sound measurement process of measuring machining sound generated at the machining point; and

a computation process of determining whether a machining failure has occurred in the machining, wherein

the computation process includes:

a feature extraction process of extracting a machining light feature from a machining light signal measured by the machining light measurement process, and extracting a machining sound feature from a machining sound signal measured by the machining sound measurement process;

a determination value calculation process of calculating a combined failure determination value on a basis of the machining light feature and the machining sound feature; and

a determination process of comparing the combined failure determination value with a determination criterion to determine whether the machining failure has occurred, wherein

the determination value calculation process calculates the combined failure determination value by weighting, as defined in accordance with a machining condition, a machining light failure determination value and a machining sound failure determination value calculated using the machining light feature and the machining sound feature,

wherein the machining is laser cutting,

the laser cutting apparatus further comprising:

a stage on which workpiece to be subjected to the laser cutting is placed;

a laser oscillator; and

a machining head that irradiates the machining point with laser light from the laser oscillator.

5. The laser cutting apparatus according to claim 4 , wherein the determination value calculation process consults weighting information in which a combination of the machining condition and a type of the machining failure is associated with a weight, and calculates the combined failure determination value using the weight defined for a combination of machining condition data in the machining and machining failure data indicating all the type of the machining failure to be detected.

6. The laser cutting apparatus according to claim 5 , wherein the determination value calculation process calculates the combined failure determination value, selectively using the machining light signal from the machining light measurement process and the machining sound signal from the machining sound measurement process in accordance with the type of the machining failure to be detected.

7. The laser cutting apparatus according to claim 5 , wherein the computation process further includes a machine learning process of learning the machining light feature, the machining sound feature, and the machining condition.

8. The laser cutting apparatus according to claim 7 , wherein the machine learning process further learns the weight.

9. The machining failure detection device according to claim 5 , wherein the weighting information has the weight for each combination of priority in the machining, the machining condition, and the type of machining failure.

10. The laser cutting apparatus according to claim 4 , wherein;

the machining light failure determination value and the machining sound failure determination value are degrees of matching between the machining light feature and the machining sound feature and failure determination criteria for identifying the machining light feature and the machining sound feature as a machining failure, and

the machining failure includes types of machining failure, the determination value calculation process calculates the machining light failure determination values and the machining sound failure determination values for all of the types of machining failure, the calculated machining light failure determination values including the highest degree of matching, the calculated machining sound failure determination values including the highest degree of matching, and the determination value calculation process determines that the machining failure has not occurred when the highest degrees of matching are less than a preset threshold.

11. An electrical discharge machining apparatus comprising:

a machining failure detection device including:

a processor to execute a program: and

a memory to store the program that, when executed by the processor, performs:

a machining light measurement process of measuring machining light generated at a machining point during machining;

a machining sound measurement process of measuring machining sound generated at the machining point; and

a computation process of determining whether a machining failure has occurred in the machining, wherein

the computation process includes:

a feature extraction process of extracting a machining light feature from a machining light signal measured by the machining light measurement process, and extracting a machining sound feature from a machining sound signal measured by the machining sound measurement process:

a determination value calculation process of calculating a combined failure determination value on a basis of the machining light feature and the machining sound feature; and

a determination process of comparing the combined failure determination value with a determination criterion to determine whether the machining failure has occurred, wherein

the determination value calculation process calculates the combined failure determination value by weighting the machining light feature and the machining sound feature, as defined in accordance with a machining condition, and combining the weighted features,

wherein the machining is electrical discharge machining,

the electrical discharge machining apparatus further comprising:

a stage on which a workpiece to be subjected to the electrical discharge machining is placed;

an electrode located at a predetermined distance from a position of the workpiece to be machined; and

a power source to apply a discharge pulse voltage between the stage and the electrode.

12. An electrical discharge machining apparatus comprising:

a machining failure detector, the machining being electrical discharge machining, the machining failure detector including:

a processor to execute a program: and

a memory to store the program that, when executed by the processor, performs:

a machining light measurement process of measuring machining light generated at a machining point during machining;

a machining sound measurement process of measuring machining sound generated at the machining point; and

a computation process of determining whether a machining failure has occurred in the machining, wherein

the computation process includes:

a feature extraction process of extracting a machining light feature from a machining light signal measured by the machining light measurement process, and extracting a machining sound feature from a machining sound signal measured by the machining sound measurement process;

a determination value calculation process of calculating a combined failure determination value on a basis of the machining light feature and the machining sound feature; and

a determination process of comparing the combined failure determination value with a determination criterion to determine whether the machining failure has occurred, wherein

the determination value calculation process calculates the combined failure determination value by weighting, as defined in accordance with a machining condition, a machining light failure determination value and a machining sound failure determination value calculated using the machining light feature and the machining sound feature,

the electrical discharge machining apparatus further comprising:

a stage on which a workpiece to be subjected to the electrical discharge machining is placed;

an electrode located at a predetermined distance from a position of the workpiece to be machined; and

a power source to apply a discharge pulse voltage between the stage and the electrode.