The objective of this study is to investigate the effectiveness of a multi-parameter intelligent fault diagnosis method based on a modified random forest algorithm(RFNB algorithm),so as to reduce the impact of blockag...The objective of this study is to investigate the effectiveness of a multi-parameter intelligent fault diagnosis method based on a modified random forest algorithm(RFNB algorithm),so as to reduce the impact of blockage fault on the operation of a silage harvester,thus providing a reference for the intelligent control.In brief,the forward speed,cutting speed,engine speed and engine load were selected as the input variables.Then,a random forest(RF)was used to construct a naive Bayes classifier for each node of the decision tree,and finally the RFNB algorithm constituted based on the naive Bayes tree(NBTree).The results revealed that by improving the classification accuracy of a single decision tree,the fault diagnosis accuracy of the entire RF was improved.When the sample data were consistent,the accuracy of the RFNB algorithm was 97.9%,while that of the RF algorithm was only 93.27%.Besides,the performance of RFNB classifiers was significantly better than that of RF classifiers.In conclusion,the RFNB model can accurately identify the fault status of the silage harvester with its good robustness,which provides a new idea for the fault monitoring and early warning of large agricultural rotating machinery in the future.展开更多
For resolving harvesting technology of fresh rice straw silage and plugging of the round steel-roll baler in China,experimental researches were carried out.For harvesting technology,baling silage and chopping silage w...For resolving harvesting technology of fresh rice straw silage and plugging of the round steel-roll baler in China,experimental researches were carried out.For harvesting technology,baling silage and chopping silage were experimented.For the round baler,three kinds of feeding rolls equipped for enhancing feeding capability were experimented separately by reliability.Experimental results indicate:harvesting technology of baling fresh rice straw as silage is practicable;slicing-disc feeding rolls can be used to the baler to resolve plugging in straw-baling course.And through further experiments by reliability and density,optimal structure of the feeding roll is obtained:big and small slicing-discs arranged in interval and inclination,distance between slicing-discs being 30-40 mm.展开更多
基金National Key R&D Program of China(2016YFD0701301)。
文摘The objective of this study is to investigate the effectiveness of a multi-parameter intelligent fault diagnosis method based on a modified random forest algorithm(RFNB algorithm),so as to reduce the impact of blockage fault on the operation of a silage harvester,thus providing a reference for the intelligent control.In brief,the forward speed,cutting speed,engine speed and engine load were selected as the input variables.Then,a random forest(RF)was used to construct a naive Bayes classifier for each node of the decision tree,and finally the RFNB algorithm constituted based on the naive Bayes tree(NBTree).The results revealed that by improving the classification accuracy of a single decision tree,the fault diagnosis accuracy of the entire RF was improved.When the sample data were consistent,the accuracy of the RFNB algorithm was 97.9%,while that of the RF algorithm was only 93.27%.Besides,the performance of RFNB classifiers was significantly better than that of RF classifiers.In conclusion,the RFNB model can accurately identify the fault status of the silage harvester with its good robustness,which provides a new idea for the fault monitoring and early warning of large agricultural rotating machinery in the future.
基金support by Program for Innovative Research Team of Northeast Agricultural University(item No.CXZ-006)support by special research fund for doctoral major of universities(item No.200802240001)support by research program of Heilongjiang province(item No.GA07B201).
文摘For resolving harvesting technology of fresh rice straw silage and plugging of the round steel-roll baler in China,experimental researches were carried out.For harvesting technology,baling silage and chopping silage were experimented.For the round baler,three kinds of feeding rolls equipped for enhancing feeding capability were experimented separately by reliability.Experimental results indicate:harvesting technology of baling fresh rice straw as silage is practicable;slicing-disc feeding rolls can be used to the baler to resolve plugging in straw-baling course.And through further experiments by reliability and density,optimal structure of the feeding roll is obtained:big and small slicing-discs arranged in interval and inclination,distance between slicing-discs being 30-40 mm.
