Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review

Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review

Combine harvesters, as essential equipment in agricultural engineering, frequently experience structural faults due to their complex structure and harsh working conditions, which severely affect their reliability and operational efficiency, leading to significant downtime and reduced agricultural pr...

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Bibliographic Details
Main Authors: Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
combine harvester
fault detection
fault diagnosis
data-driven methods
machine learning
signal processing
Online Access:https://www.mdpi.com/1424-8220/25/13/3851
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