Film Thickness Measurement Of Mechanical Seal Based On Cascaded Artificial Neural Network Recognition Model

Zhang, Erqing; Fu, Peng; Li, Kesi; Li, Xiaohui; Zhou, Zhongrong

doi:10.21307/ijssis-2017-737

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Another approach is to measure the electrical resistance through the seal gap to obtain information about the contact situation [ 10 ]. Other monitoring approaches measure the acoustic emissions generated by the sliding rings [ 11 , 12 , 13 ]. However, a drawback of this approach is that other acoustic sources interfere with the measurement result.…”

Section: Introductionmentioning

confidence: 99%

Excitation of Mechanical Resonances in the Stationary Ring of a Mechanical Seal by a Continuously Operated Electromagnetic Acoustic Transducer

Siegl

Leithner

Schweighofer

et al. 2023

Sensors

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Acoustic/ultrasonic testing is now a common method in the field of nondestructive testing for detecting material defects or monitoring ongoing mechanical changes in a structure during operation. In many applications, piezoelectric transducers are used to generate mechanical waves inside the specimen. Their actual operating frequency is highly dependent on the dimensions of the transducer. Larger dimensions of the piezoelectric transducer allow for a lower operating frequency. However, these dimensions limit the use of piezoelectric transducers in certain applications where the size of the transducer is restricted due to limited installation space and when low-frequency excitation is required. One application that places these requirements on the transducer is the monitoring of mechanical seals. Here, the transducer must be mounted on the stationary ring of the seal. In this paper, a continuously operated electromagnetic acoustic transducer (EMAT) is presented as an alternative to piezoelectric transducers as a transmitter. The advantage of a EMAT is that it meets the requirements of limited sensor size (sensor area < 10 × 6 mm) and can excite mechanical waves with frequencies below 10 kHz. A structural analysis of the stationary ring shows that the first two mechanical resonances occur around 4 and 5.5 kHz. An experimental study meterologically demonstrates the ability of the EMAT to excite these first two mechanical resonances of the ring. A comparative simulation agrees well with the measurement.

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Section: Introductionmentioning

confidence: 99%

Excitation of Mechanical Resonances in the Stationary Ring of a Mechanical Seal by a Continuously Operated Electromagnetic Acoustic Transducer

Siegl

Leithner

Schweighofer

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Adaptive Analysis for Acoustic Emissions Generated from a Gas Face Seal

Yin

Huang

Liu

et al. 2019

2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

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The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection

Chen³

et al. 2016

Shock and Vibration

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Monitoring the contact state of seal end faces would help the early warning of the seal failure. In the acoustic emission (AE) detection for mechanical seal, the main difficulty is to reduce the background noise and to classify the dispersed features. To solve these problems and achieve higher detection rates, a new approach based on genetic particle filter with autoregression (AR-GPF) and hypersphere support vector machine (HSSVM) is presented. First, AR model is used to build the dynamic state space (DSS) of the AE signal, and GPF is used for signal filtering. Then, multiple features are extracted, and a classification model based on HSSVM is constructed for state recognition. In this approach, AR-GPF is an excellent time-domain method for noise reduction, and HSSVM has advantage on those dispersed features. Finally experimental data shows that the proposed method can effectively detect the contact state of the seal end faces and has higher accuracy rates than some other existing methods.

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Film Thickness Measurement Of Mechanical Seal Based On Cascaded Artificial Neural Network Recognition Model

Cited by 3 publications

References 17 publications

Excitation of Mechanical Resonances in the Stationary Ring of a Mechanical Seal by a Continuously Operated Electromagnetic Acoustic Transducer

Excitation of Mechanical Resonances in the Stationary Ring of a Mechanical Seal by a Continuously Operated Electromagnetic Acoustic Transducer

Adaptive Analysis for Acoustic Emissions Generated from a Gas Face Seal

The Contact State Monitoring for Seal End Faces Based on Acoustic Emission Detection

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