2019
DOI: 10.1590/1678-4324-2019180363
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Hydraulic System Onboard Monitoring and Fault Diagnostic in Agricultural Machine

Abstract: Agricultural Machinery as an off-road vehicle is the backbone of the World agricultural industry. Its main function is to operate as a prime mover and support the power requirements to function the various type of draft implements. In this regards, the hydraulic system is an important part and is controlled by the propagated oil which is cleaned by impurities and debris using a filter system. Once it blocks, the bypass opens to avoid any pressure burst of the system, and the particles find their way into the h… Show more

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Cited by 34 publications
(9 citation statements)
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References 19 publications
(22 reference statements)
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“…During the past 10 years, with the rapid development of artificial intelligence and deep learning technology, datadriven deep learning models [45] have become very popular and have been widely used in engineering [17], [18] electricity [13], [16] agriculture [11] and many other fields. Chatterjee et al [17] proposed a method based on particle swarm optimization to train the NN (NN-PSO), which can solve the problem of predicting the failure of multistoried reinforced concrete buildings by detecting the failure probability of the multistoried RC building structures in the future.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…During the past 10 years, with the rapid development of artificial intelligence and deep learning technology, datadriven deep learning models [45] have become very popular and have been widely used in engineering [17], [18] electricity [13], [16] agriculture [11] and many other fields. Chatterjee et al [17] proposed a method based on particle swarm optimization to train the NN (NN-PSO), which can solve the problem of predicting the failure of multistoried reinforced concrete buildings by detecting the failure probability of the multistoried RC building structures in the future.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The emergence of urban water accumulation monitoring systems provides data support for the construction of a prediction model of water accumulation processes. Therefore, some studies have built a variety of time series models using neural networks to study the prediction methods of ponding process [10], [11]. However, due to the accumulation of errors in the multistep iteration of time series models, this model has a good effect on short-term water accumulation prediction.…”
Section: Introductionmentioning
confidence: 99%
“…Optimization techniques are in use in a variety of technical fields from power quality measurement [20][21][22] to medical engineering [23]. Additionally, it is getting to be deployed in sentiment mining [24], agriculture machines diagnostics [25][26][27], services based on location [28], extraction of features from big data [29], telecommunications [30][31][32][33][34][35], software-intensive systems [36], power line communications [37], processing medical images [38][39][40], public systems for transportation [41], power system planning [42,43], texture analysis [44], adaptation of image adaptation [45], human-robot interaction [46], data mining [47][48][49], noise cancellation [50,51], analysis of human motion [52], smart environment [53], electrocardiogram processing [54][55][56], etc. Meta-heuristic techniques cover a wide range of optimization methodologies [57][58][59].…”
Section: Introductionmentioning
confidence: 99%
“…This results from counteractions for processes of material wear [8]. Aging and original property loss apply in particular to hydraulic fluids [9,10].…”
Section: Introductionmentioning
confidence: 99%