Extracting precisely the vibration signals' characteristics in time and frequency of typical faults is a key to mechanical failure diagnosis.
准确地提取各种典型故障的振动信号的时频域特征是进行机械故障诊断的关键。
We used the mechanical health degree to compute the information fusion entropy value of mechanical characteristic parameter and mechanical failure diagnosis.
用机械健康度定量度量机械状态的优劣，给出机械特征参数提取和机械故障诊断时信息融合的计算方法。
As a new signal analysis theory, HHT has gradually applied to seismic signal analysis, mechanical failure diagnosis, hydrodynamics, medical signal processing, voice signal processing, and so on.
HHT作为一种新的信号分析理论，已逐步应用到地震信号分析、机械故障诊断、流体力学、医学信号处理和语音信号处理等领域。
Failure mechanism of vibration signal analysis is the mechanical fault diagnosis technology used in one of the main method.
故障机理的研究振动信号分析是机械故障诊断技术中采用的最主要的方法之一。
It can be used in the large mechanical equipment's failure diagnosis system for decentralized collection, centralized control, and communications networking structure.
可以在大型机械设备群的故障诊断系统中实现分散采集、集中控制、网络化通信结构。
Considering the characteristics of the mechanical equipment and the weakness of the existing diagnosis methods, a new failure detection based on recognition analysis is defined.
本文根据机械设备故障诊断系统的特性和现有诊断方法的不足，阐述了基于模式识别的故障诊断方法。
In recent years, progress has been made in the diagnosis and treatment of heart failure, mechanical circulatory support and heart function monitoring.
近年来，随着该领域的开拓与研究，我们在心力衰竭的诊断、治疗、机械辅助以及超声在心功能监测等方面的应用取得很多进展。
In recent years, progress has been made in the diagnosis and treatment of heart failure, mechanical circulatory support and heart function monitoring.
近年来，随着该领域的开拓与研究，我们在心力衰竭的诊断、治疗、机械辅助以及超声在心功能监测等方面的应用取得很多进展。
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