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Description
Study to assess the condition of the harvester's rotating elements through vibrations. By installing three-axis accelerometer sensors in the harvester's chassis, vibrations can be detected from five different operating phases. Subsequently, the analysis of these data can be used to assess the condition of the machine and conduct its predictive maintenance (PdM).Other information
Number of researchers:
4
Development status:
In research and development phase
Intellectual Property Rights:
JCR (Ruiz-Gonzalez et al. 2014), (Martínez-Martínez et al. 2015)
Differentiation in the market:
Novelty
Applicability of technology:
Yes
Companies and markets:
Agricultural sector. Predictive maintenance of agricultural machinery.
Advantages:
Use of new technologies to conduct predictive maintenance of agricultural machinery by measuring the vibrations of the vehicle’s rotating elements.
UNESCO Code:
3102 - Agricultural engineering
Other members:
Francisco Javier Gómez Gil
Rubén Ruiz González
See more
Víctor Martínez Martínez
 | An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis See / Download resource |
| An Artificial Neural Network based expert system fitted with Genetic Algorithms for detecting the status of several rotary components in agro-industrial machines using a single vibration signal See / Download resource |
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