Gear fault detection using dynamic transmission variance
| Autor: | David Benjamin Rapos, Chris K. Mechefske, Markus Timusk |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Signal processing
021103 operations research Computer science Strategy and Management Acoustics 0211 other engineering and technologies 02 engineering and technology Function (mathematics) Industrial and Manufacturing Engineering Fault detection and isolation law.invention Vibration 020303 mechanical engineering & transports Transmission (mechanics) 0203 mechanical engineering law Position (vector) Hall effect sensor Safety Risk Reliability and Quality Position sensor |
| Zdroj: | Journal of Quality in Maintenance Engineering. 24:101-118 |
| ISSN: | 1355-2511 |
| DOI: | 10.1108/jqme-01-2016-0003 |
| Popis: | Purpose The purpose of this paper is to report the findings of a study that used measurements of shaft relative rotational position, made using inexpensive Hall Effect sensors and magnets mounted at the ends of a gearbox input and output shafts, to determine gear “transmission variance.” The transmission variance signals, as a function of gear/shaft rotational position, were then used to detect and diagnose gear faults. Design/methodology/approach Two sets of spur gears (one plastic and one steel) were used to experimentally determine the relative shaft rotational position between the input and the output gearbox shafts. Fault-free and faulted (damaged tooth faces and cracked tooth bases) gears were used to collect representative dynamic signals. Signal processing was used to extract transmission variance values as a function of shaft rotational position and then used to detect and diagnose gear faults. Findings The results show that variations in the relative rotational position of the output shaft relative to that of the input shaft (the transmission variance) can be used to reveal gear mesh characteristics, including faults, such as cracked or missing gear teeth and flattened gear tooth faces, in both plastic gears and steel gears under appropriate (realistic) loads and speeds. Research limitations/implications The operational mode of the non-contact rotational position sensors and the dynamic accuracy limitations are explained along with the basic signal processing required to extract transmission variance values. Practical implications The results show that shaft rotational position measurements can be made accurately and precisely using relatively inexpensive sensors and can subsequently reveal gear faults. Social implications The inexpensive and yet trustworthy fault detection methodology developed in this work should help to improve the efficiency of maintenance actions on gearboxes and, therefore, improve the overall industrial efficiency of society. Originality/value The method described has distinct advantages over traditional analysis methods based on gearbox vibration and/or oil analysis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|