کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
731941 893188 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A data-driven approach to diagnostics of repetitive processes in the distribution domain – Applications to gearbox diagnostics in industrial robots and rotating machines
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
A data-driven approach to diagnostics of repetitive processes in the distribution domain – Applications to gearbox diagnostics in industrial robots and rotating machines
چکیده انگلیسی


• Proposes a framework for diagnostics of repetitive processes, common in automation.
• Data batches collected from repetition are compared in the distribution domain.
• An approach to reduce sensitivity to disturbances is given and verified.
• The method is simple and can be used without process interruption, in a batch manner.
• Experimental verification of gearbox faults in manipulators and rotating machines.

This paper presents a data-driven approach to diagnostics of systems that operate in a repetitive manner. Considering that data batches collected from a repetitive operation will be similar unless in the presence of an abnormality, a condition change is inferred by comparing the monitored data against an available nominal batch. The method proposed considers the comparison of data in the distribution domain, which reveals information of the data amplitude. This is achieved with the use of kernel density estimates and the Kullback–Leibler distance. To decrease sensitivity to disturbances while increasing sensitivity to faults, the use of a weighting vector is suggested which is chosen based on a labeled dataset. The framework is simple to implement and can be used without process interruption, in a batch manner. The approach is demonstrated with successful experimental and simulation applications to wear diagnostics in an industrial robot gearbox and for diagnostics of gear faults in a rotating machine.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechatronics - Volume 24, Issue 8, December 2014, Pages 1032–1041
نویسندگان
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