US 2019/0154548 A1Published application

Machine diagnostic method and diagnostic system thereof

AssigneeInstitute for Information Industry

InventorsCi-Yi LAI, Hung-An KAO, Hung-Sheng CHIU

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Abstract

A machine diagnostic system includes a performance evaluating module, a machine adjusting module and multiple sensors. The performance evaluating module evaluates the performance value of a part of a machine prior to production and predicts whether the part can be used to complete multiple batches of semi-products. If yes, the machine adjusting module sets a set value of the machine so that the machine can complete the multiple batches of semi-products. When the batches of semi-products are processed by the machine, a real-time production data is generated. When the sensors detect that the real-time production data contains an abnormal state data, re-evaluating whether the machine can complete the remaining semi-products according to the set value. If yes, enabling the machine to continue processing the remaining semi-products according to the set value. If no, updating the set value of the machine.

Claims14

Dependent claims

A machine diagnostic method, comprising:

evaluating, by a processor, a performance value of a part of a machine prior to production;
predicting, by the processor, whether the part can be used to complete a plurality of batches of semi-products;
in response to predicting that the part can be used to complete the plurality of batches of semi-products, setting, by the processor, a set value of the machine to enable the machine to complete the plurality of batches of semi-products;
enabling, by the processor, the machine to process the plurality of batches of semi-products to generate a real-time production data;
in response to detecting that the real-time production data contains an abnormal state data, re-evaluating, by the processor, whether the set value of the machine enables the machine to complete remaining batches of semi-products;
in response to re-evaluating that the set value of the machine enables the machine to complete the remaining batches of semi-products, enabling, by the processor, the machine to continue processing the remaining batches of semi-products according to the set value;
and
in response to re-evaluating that the set value of the machine does not enable the machine to complete the remaining batches of semi-products, updating, by the processor, the set value of the machine to enable the machine to complete the remaining batches of semi-products.

5 more elements

A machine diagnostic system, comprising:

a processor comprising a performance evaluating module and a machine adjusting module, wherein
the performance evaluating module is for evaluating a performance value of a part of a machine prior to production and predicting whether the part can be used to complete a plurality batches of semi-products;
in response to predicting that the part can be used to complete the plurality of batches of semi-products, the machine adjusting module sets a set value of the machine to enable the machine to complete the plurality batches of semi-products;
and
a plurality of sensors for sensing the machine processing the plurality of batches of semi-products to generate a real-time production data, wherein
in response to detecting that the real-time production data contains an abnormal state data, the performance evaluating module re-evaluates whether the set value of the machine enables the machine to complete remaining batches of semi-products;
in response to re-evaluating that the set value of the machine enables the machine to complete the remaining batches of semi-products, the machine adjusting module enables the machine to continue processing the remaining batches of semi-products according to the set value;
and
in response to re-evaluating that the set value of the machine does not enable the machine to complete the remaining batches of semi-products, the machine adjusting module updates the set value of the machine to complete the remaining batches of semi-products.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/834,885Filed 7 Dec 2017
Priority: TW 10614002520 Nov 2017
Published: 23 May 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification7 codes

G01M 99/008
Subject matter not provided for in other groups of this subclass: by doing functionality tests
G05B 23/0283
Characterized by the response to fault detection: predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring…
G05B 23/0289
Modifications to the monitored process, e.g. stopping operation or adapting control: reconfiguration to prevent failure, e.g. usually as a…
G01M 13/028
Gearings; Transmission mechanisms: acoustic or vibration analysis

Family

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