论文部分内容阅读
以８０Ｃ１９６ＫＢ为核心，基于模糊神经网络的多功能便携式振动噪声分析仪对振动和噪声信号检测，在复数范围内进行１０２４点浮点快速付立叶变换，从而得到被测信号频谱图，通过对传统谱图分析，提出一种简单、有效的分析方法，并与神经网络和模糊理论相结合，用已建立的模糊神经网络对谱图进行模式识别或故障诊断．
Taking the 80C196KB as the core, a multifunctional portable vibration and noise analyzer based on fuzzy neural network detects the vibration and noise signals and performs fast Fourier transform of 1024 floating-point fast Fourier transform in complex range to get the spectrum of the signal under test. Spectrum analysis, a simple and effective analysis method is proposed. Combined with neural network and fuzzy theory, the fuzzy neural network has been established to pattern recognition or fault diagnosis.