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自适应Chirp模式分解（ACMD）是一种基于变分模态分解（VMD）框架的非平稳信号处理方法，解决了VMD 处理频率重叠的多分量信号效果不佳的问题，并且无需提前设定信号模态数，一定程度上提高了信号的时频分辨率。

2021年4月28日 · In this paper, a vehicle-track coupled model considering wheel flats under variable-speed conditions is employed to calculate and analyze the vehicle vibration accelerations at first. Then, according to the vibration characteristics, a two-level adaptive chirp mode decomposition (ACMD) approach is developed for the wheel flat detection.

2024年6月4日 · ACMD，即"Aikenhead Centre for Medical Discovery"的缩写，直译为艾肯海德医学发现中心。 这个英文缩写词主要用于学术研究领域，特别是在医学发现的背景下。 它代表的是一个专注于医学研究和发现的机构，中文拼音为ài kěn hǎi dé yī xué fā xiàn zhōng xīn。

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2024年1月22日 · 该文介绍了一种可处理的vncmd[32]，称为自适应啁啾模态分解（acmd），并提出了一种基于acmd的摩擦冲击故障检测方法，用于估计振动信号的快速波动if。 ACMD采用类似于匹配追踪的贪婪算法[33\u201234]，逐个递归估计信号分量。

2021年2月17日 · 自适应线性调频模式分解（ACMD）是最近发展起来的一种信号分解方法。 通过使用嵌入迭代算法的递归框架，它可以对信号进行一一分解。 该方案虽然适应性强，但重构信号的精度很粗糙。 此外，当两个分量非常接近时，随着迭代的进行，估计分量甚至会偏离真实结果。 为了解决上述问题，本文提出了一种新颖的两步ACMD。 具体来说，没有迭代算法的递归方案仅用于首先分解信号，这可以确定分量的数量。 然后，使用迭代算法的联合估计框架来实现高分 …

2023年4月1日 · In this paper, a fully data-driven adaptive chirp mode decomposition (DD-ACMD) is proposed to address the issue. Firstly, the high-frequency modes of the signal are enhanced by derivative operation, and then the IF of the highest-frequency mode is preliminarily estimated based on a normalization operator.