Title:
METHOD FOR MONITORING STATE OF DEEP HOLE BORING CUTTER ON BASIS OF STACKED AUTOENCODER
Document Type and Number:
WIPO Patent Application WO/2021/046738
Kind Code:
A1
Abstract:
A method for monitoring the state of a deep hole boring cutter on the basis of a stacked autoencoder, the method comprising: first using magnetic bases to adhere two three-way acceleration sensors (5, 7) on two holder bearings of a deep hole boring rod (6), respectively, and placing a microphone (3) at a machining inlet of a workpiece (1) inner hole so as to collect vibration signals and sound signals during boring; using amplitude limiting filtering to perform data preprocessing on the collected data; then, constructing a stacked autoencoder network model, and using a greed layer-wise method to train a stacked autoencoder by using the preprocessed data; and finally, inputting real-time vibration signals and sound signals during boring machining into the stacked autoencoder network model after data preprocessing, the network model outputting the real-time state of a cutter. The described method may achieve the real-time monitoring of the state of a deep hole boring cutter.
Inventors:
LIU KUO (CN)
LI DAWEI (CN)
ZHANG HEQING (CN)
HUANG RENJIE (CN)
CHEN FENG (CN)
WANG YONGQING (CN)
LI DAWEI (CN)
ZHANG HEQING (CN)
HUANG RENJIE (CN)
CHEN FENG (CN)
WANG YONGQING (CN)
Application Number:
PCT/CN2019/105283
Publication Date:
March 18, 2021
Filing Date:
September 11, 2019
Export Citation:
Assignee:
UNIV DALIAN TECH (CN)
International Classes:
B23Q17/09
Domestic Patent References:
| WO2016195358A1 | 2016-12-08 |
Foreign References:
| CN109434563A | 2019-03-08 | |||
| CN109514349A | 2019-03-26 | |||
| CN109015111A | 2018-12-18 | |||
| CN109562500A | 2019-04-02 | |||
| JP2019098515A | 2019-06-24 |
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