Monitoring on dry vacuum pump characteristics by mobile device

Hsieh, Fan-Chun; Chou, Shih-Chieh; Lin, Ping-Hung; Chang, Shian-Wen; Chen, Fong-Zhi; Liao, Tai-Shan; Liu, Daren; Chiang, Donyau

doi:10.1109/i2mtc.2012.6229217

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…This is one aspect of SME. Along with the technology development of IT and computational intelligence technology, the development of the monitoring and diagnostic method of dry vacuum pumps can be found [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Industrial Internet of Things for Condition Monitoring and Diagnosis of Dry Vacuum Pumps in Atomic Layer Deposition Equipment

2022

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In the modern semiconductor industry, defective products occur with unexpected small variables due to process miniaturization. Managing the condition of each part is an effective way of preventing unexpected errors. The industrial internet of things (IIoT) environment, which can monitor and analyze the performance degradation of parts that affect process results, enables advanced process yield management. This paper introduces the IIoT concept-based data monitoring and diagnostic system construction results. The process of pump vibration data acquisition is explained to evaluate the effectiveness of this system. The target process is deposition. The purpose of the system is to detect degradation of pumps due to by-products of the atomic layer deposition (ALD) process. The system consists of three areas: a data acquisition unit using six vibration sensors, a Web access-based monitoring unit that can monitor vibration data, and an Azure platform that searches for outliers in vibration data.

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Section: Introductionmentioning

confidence: 99%