Method and device for monitoring the state of a marine diesel engine

By collecting and processing triaxial vibration velocity, DC gravity component and scavenging pressure, and combining the ship's heel angle and life cycle weighting coefficient, a deterioration divergence index is generated, which solves the problems of high false alarm rate and insufficient adaptability in the existing diesel engine condition monitoring technology, and realizes high-precision condition monitoring and fault diagnosis.

CN122407359APending Publication Date: 2026-07-17CCCC SHANGHAI THIRD HARBOR SCI RES INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CCCC SHANGHAI THIRD HARBOR SCI RES INST CO LTD
Filing Date
2026-06-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing marine diesel engine condition monitoring technologies struggle to accurately distinguish between external disturbances and internal mechanical conditions in complex sea conditions, resulting in a high false alarm rate, ineffective monitoring of mechanical fatigue life, and a lack of adaptive sensitivity.

Method used

By real-time acquisition of triaxial vibration velocity components, triaxial DC gravity components, and scavenging pressure, the combined triaxial vibration velocity and ship heel angle are calculated. Combined with preset parameters, normalization and decoupling calculations are performed to generate a degradation divergence index. Using life cycle weighting coefficients and interquartile range to construct a scanning vernier, the health status of the diesel engine is accurately determined.

Benefits of technology

It achieves reduced false alarm rate and improved fault diagnosis accuracy under complex working conditions, ensures high sensitivity monitoring throughout the entire life cycle, and can accurately reflect the degradation state of mechanical structures.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明提供船舶柴油机的状态监测方法及装置,涉及柴油机状态监测技术领域,具体步骤包括:采集三轴振动速度分量、三轴直流重力分量及扫气压力,获取三轴合成振动速度与船舶横倾角,结合基础启停阈值计算柴油机累计启动工时,将振动与压力结合基准参数及船舶横倾角解耦得归一化响应比,经生命周期加权系数加权得劣化发散指数,经时域滑动窗口划分子区间并统计数量,取主导响应区间算术平均值作劣化指数,比对预设的劣化指数阈值判定健康状态。本发明通过多维解耦滤除海况摇摆与载荷造成的虚假振动放大以克服误报,依托频数统计隔离数据污染,结合工时赋予自适应疲劳敏感度,实现微弱退化的非线性放大,提升诊断准确率。
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