A Fault Diagnosis System for a Pipeline Robot Based on Sound Signal Recognition
Timely and accurate identification of fault types at the early stage of minor faults is significant for cutting off fault evolution. In order to have a clear understanding of the pipeline robot’s own situation in the pipeline, this paper proposes a fault diagnosis system for pipeline robots based on...
Main Authors: | Cao, H. (Author), Kim, J. (Author), Wang, Y. (Author), Yu, J. (Author), Zhang, L. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
The Performance Analysis of PSO-ResNet for the Fault Diagnosis of Vibration Signals Based on the Pipeline Robot
by: Kim, J., et al.
Published: (2023) -
Drill Fault Diagnosis Based on the Scalogram and Mel Spectrogram of Sound Signals Using Artificial Intelligence
by: Thanh Tran, et al.
Published: (2020-01-01) -
Intelligent Fault Diagnosis Model for Rotating Machinery Based on Fusion of Sound Signals
by: M. Saimurugan, et al.
Published: (2016-06-01) -
Improving Classification Algorithms by Considering Score Series in Wireless Acoustic Sensor Networks
by: Amalia Luque, et al.
Published: (2018-07-01) -
Optimal Representation of Anuran Call Spectrum in Environmental Monitoring Systems Using Wireless Sensor Networks
by: Amalia Luque, et al.
Published: (2018-06-01)