Fault diagnosis of rotation vector reducer for industrial robot based on a convolutional neural network

Yang, Shuai (avtor), Luo, Xing (avtor), Li, Chuan (avtor)

As a key component of a mechanical drive system, the failure of the reducer will usually cause huge economic losses and even lead to serious casualties in extreme cases. To solve this problem, a two-dimensional convolutional neural network (2D-CNN) is proposed for the fault diagnosis of the rotation vector (RV) reducer installed on the industrial robot (IR). The proposed method can automatically extract the features from the data and reduce the connections between neurons and the parameters that need to be trained with its local receptive field, weight sharing, and subsampling features. Due to the aforementioned characteristics, the efficiency of network training is significantly improved, and verified by the experimental simulations. Comparative experiments with other mainstream methods are carried out to further validate the fault classification accuracy of the proposed method. The results indicate that the proposed method out-performs all the selected methods.

• Jezik: Angleški jezik
• Ključne besede: fault diagnosis, convolutional neural networks, RV reducers
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: Str. 489-500
• Številčenje: Vol. 67, no. 10
• PID: 20.500.12556/RUL-132525
• UDK: 681.5:007.52
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2021.7284
• COBISS.SI-ID: 82633475
• Datum objave v RUL: 28.10.2021

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Diagnosticiranje napak na reduktorjih RV za industrijske robote na osnovi konvolucijske nevronske mreže
• Ključne besede: diagnosticiranje napak, konvolucijske nevronske mreže, reduktorji RV