Analysis of Instantaneous Angular Speed Accuracy Considering Encoder Errors

Yuanhao Liu, Fengshou Gu, Qiang Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Instantaneous Angular Speed (IAS) is closely related to the dynamic behavior of rotating machinery and plays a crucial role in diagnosing faults. However, the measurement of the IAS is subject to various errors inevitably, which directly affect the accuracy of IAS estimation and diminish the precision of fault diagnosis in rotating machinery. Currently, the estimation of IAS primarily relies on time counting methods, and there has been limited research conducted on the application of Frequency Domain Demodulation (FDD) as an IAS estimation method, despite its potential for providing lower noise levels. The study of IAS errors based on the FFD method has received even less attention. This study undertakes pertinent research and investigates the issue identified. Firstly, it develops a model for IAS estimation using FDD, considering the specific characteristics of the encoder disk signal. Secondly, it establishes IAS models for eccentric and inclined encoder disks, considering the spatial geometric characteristics associated with different types of encoder disk errors. In conclusion, the experimental results successfully validate the accuracy and validity of the proposed theoretical models. This study lays a theoretical foundation for the precise measurement of IAS, thereby enhancing the reliability of using IAS for condition monitoring in rotating machinery.

Original languageEnglish
Title of host publicationICAC 2024 - 29th International Conference on Automation and Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9798350360882
ISBN (Print)9798350360899
DOIs
Publication statusPublished - 23 Oct 2024
Event29th International Conference on Automation and Computing - Sunderland, United Kingdom
Duration: 28 Aug 202430 Aug 2024
Conference number: 29

Conference

Conference29th International Conference on Automation and Computing
Abbreviated titleICAC 2024
Country/TerritoryUnited Kingdom
CitySunderland
Period28/08/2430/08/24

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