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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements
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Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements

机译：基于加速度计测量的模糊正态C-均值聚类的车辆悬架性能监控

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摘要

This paper focuses on fault detection and isolation for vehicle suspension systems. The proposed method is divided into three steps: 1) confirming the number of clusters based on principal component analysis; 2) detecting faults by fuzzy positivistic C-means clustering and fault lines; and 3) isolating the root causes for faults by utilizing the Fisher discriminant analysis technique. Different from other schemes, this method only needs measurements of accelerometers that are fixed on the four corners of a vehicle suspension. Besides, different spring attenuation coefficients are regarded as a special failure instead of several ones. A full vehicle benchmark is applied to demonstrate the effectiveness of the method.
机译：本文着重于车辆悬架系统的故障检测和隔离。该方法分为三个步骤：1）基于主成分分析确定聚类数目； 2）通过模糊实数C均值聚类和故障线检测故障； 3）利用Fisher判别分析技术找出故障的根本原因。与其他方案不同，此方法仅需要测量固定在车辆悬架四个角上的加速度计。此外，不同的弹簧衰减系数被认为是一种特殊的失效，而不是几个。完整的车辆基准测试用于证明该方法的有效性。

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