Method for predicting remaining service life of sealing device of piston compressor

JP2025523361A5Pending Publication Date: 2026-06-03BURCKHARDT COMPRESSION AG
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
BURCKHARDT COMPRESSION AG
Filing Date
2023-06-08
Publication Date
2026-06-03

AI Technical Summary

Technical Problem

Existing methods fail to accurately predict the remaining service life of sealing devices in reciprocating compressors, leading to premature replacements and unnecessary costs, and do not effectively monitor the degree of wear or leakage in real time.

Method used

A method using vibration data to simulate the propagation of errors in a closed system, employing a time-dependent Ginzburg-Landau model to predict the remaining service life of sealing devices by analyzing eigenvalues and eigenvalue distances, without requiring additional sensors, and transmitting results remotely for preventive maintenance.

Benefits of technology

Accurately predicts the failure time of sealing devices, reducing the risk of premature replacements and improving maintenance efficiency by providing real-time monitoring and prediction of wear and leakage.

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Abstract

a Provide the vibration data 1a of the reciprocating part 12 of the reciprocating compressor 11, or the feature quantity 1b that can be calculated from the vibration data 1a. b Generate the input matrix 3 from the vibration data 1a or the feature quantity 1b. c Apply the model 4 to the input matrix 3 to execute the simulation. The model 4 is used to describe the error propagation in the closed system. Each simulation step results in an output matrix 5. Use the output matrix 5 of the nth simulation step as the input matrix 3' of the (n + 1)th step. f Select the parameter 6c from the values of the output matrices 5, 5'. g Determine the number of simulation steps required until the parameter 6c falls below the threshold 8a close to zero. Output this number as the simulation result 9. h Obtain a plurality of results 9, 9' by repeating steps a to g. i Fit a curve to the results 9, 9'. Calculate the time point 7 when the curve intersects the lower boundary 8c. The intersection point is regarded as an indicator of the occurrence of a failure and as an indicator of the predicted end time of the service life of the seal device 10.
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