介绍了一种基于共振解调与神经网络技术的滚动轴承故障诊断方法。
This paper introduced rolling bearing fault diagnosis based on demodulated resonance technique and neural network.
故障实例证明，该方法与传统共振解调方法相比，具有较大的优势。
A practical example of fault diagnosis shows that this method has more preponderant than the traditional resonance demodulation method.
本文将局部投影降噪算法结合共振解调技术对低频轴承进行故障诊断。
The local projective noise reduction and demodulated resonance method for fault diagnosis of low speed rolling bearing are presented in this paper.
详细介绍了系统软硬件设计的原理和方法，实现了硬件共振解调技术的应用。
This article describes the design principles and methods of the system hardware and software in detail, realizes the application of the demodulated resonance technique based on hardware.
提出一种运用基于盲源分离的共振解调技术对齿轮齿面接触故障进行诊断的方法。
A method using demodulated resonance technique based on blind source separation is developed for gear contact diagnosis.
共振解调技术对低频冲击的高频共振波形进行包络检波，可以有效地提取低频冲击特征。
By envelope demodulation of the resonance in a range of high frequency caused by the shock of low frequency, the resonance demodulation technique can effectively extract the shock features.
分析了应用共振解调原理，利用轴承外表面振动信号对机器进行不解体故障诊断是可行的。
Analysis the demodulated resonance technique (DRT), the result shows that it is effective and feasible to diagnosis faults of bearing un-disassembly using surface vibration signal.
使传统上通过硬件实现的共振解调技术软件化了，和硬件共振解调在提取故障冲击信息的效果一样。
The traditional hardware realized technology of resonant demodulation is realized through software technology. It has the same effect as the traditional hardware realized technology.
滚动轴承故障诊断是机械故障检测中一个重要方面，共振解调是一种有效分析滚动轴承故障信号的方法。
Fault diagnosis for rolling bearing is the important part of machine failure diagnosis. Resonance-demodulation is one of available methods for gear failure signal diagnosis.
针对数字化MRI谱仪中射频接收器，提出了一种磁共振信号的数字解调和滤波的设计方案。
In the design of RF receiver of the digital MRI spectrometer console, a digital demodulation and filtering algorithm is presented in this thesis.
针对数字化MRI谱仪中射频接收器，提出了一种磁共振信号的数字解调和滤波的设计方案。
In the design of RF receiver of the digital MRI spectrometer console, a digital demodulation and filtering algorithm is presented in this thesis.
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