A method and system for maintenance of key equipment in a polyester staple production post-spinning plant

By simultaneously collecting noise and vibration signals in the spinning workshop after polyester staple fiber production and combining them with process-mechanical coupling parameters, a baseline template for acoustic-vibration coupling was established. This solved the problems of accuracy and stability in equipment fault identification in the spinning workshop after polyester staple fiber production, and enabled efficient fault early warning and maintenance linkage.

CN122431320APending Publication Date: 2026-07-21NINGBO DAFA NEW MATERIAL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NINGBO DAFA NEW MATERIAL CO LTD
Filing Date
2026-05-29
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies struggle to accurately identify equipment malfunctions in the post-spinning workshop of polyester staple fiber production, exhibiting problems such as high false alarm rates, insufficient adaptability to operating conditions, inaccurate fault location, and susceptibility to abnormal sample interference in model updates.

Method used

By synchronously collecting noise and vibration signals and combining process-mechanical coupling parameters, a normal acoustic-vibration coupling baseline template is established. The baseline deviation and acoustic-vibration coupling deviation index are calculated, input into the fault identification model for comprehensive judgment, and graded early warning and maintenance linkage are implemented.

Benefits of technology

It improves the accuracy and stability of fault identification, enhances the targeting of fault location, shortens fault response time, reduces the risk of sudden equipment downtime, and improves the long-term operational reliability and adaptability of the model.

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Abstract

The present application relates to the technical field of fault detection of chemical fiber production equipment, and particularly relates to a polyester staple fiber production post-spinning workshop key equipment maintenance method and system. The present application synchronously collects noise signals, vibration signals and process-mechanical coupling parameters, establishes a normal sound-vibration coupling baseline template according to equipment types, installation positions and parameter windows, extracts sound characteristics, vibration characteristics and coupling characteristics, calculates baseline deviation indexes and sound-vibration coupling deviation indexes, and outputs fault categories, abnormal confidence and equipment health scores, and then implements hierarchical early warning and maintenance linkage. Combined with maintenance work order feedback, baseline drift and real faults are distinguished, and baseline templates or fault recognition models are selected to be updated, so as to improve fault recognition accuracy, reduce false positive rates and downtime losses.
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Citation Information

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