摘要
振动信号处理是模态中的关键步骤,针对现有“模态分析”课程中对信号处理重视不够的问题,通过引入案例式教学法,以振动信号处理在模态分析中的应用为背景,生动地展示离散傅里叶变换、快速傅里叶变换和短时傅里叶变换等多种信号处理方法的区别和联系,引导学生由浅入深地理解傅里叶变换的基本原理、变换目的和工程应用,激发学生的学习兴趣,提高教学质量。采用仿真的微电机转子的不平衡信号,验证了FFT能够有效消除转子系统的模态对振动信号的影响,并提取出不平衡信号的幅值和相位。
Vibration signal processing is a key step in the modality.Aiming at the problem that the existing modal analysis courses do not pay enough attention to signal processing,by introducing a case-based teaching method,different applications of vibration signal processing in modal analysis are shown and the difference and connection of a variety of vibration signal processing methods are vividly demonstrated,guiding students to understand the basic principle,transformation purpose and engineering applications of the Fourier Transform from shallow to deep,stimulating students’interest in learning and improving the quality of teaching.Using the unbalanced signal of the micro-motor rotor obtained by simulation,it is verified that FFT can effectively eliminate the influence of the modality of rotor system on the vibration signal,and extract the amplitude and phase of the unbalanced signal.
作者
姜东
张梅升
杭晓晨
陈伟宇
JIANG Dong;ZHANG Mei-sheng;HANG Xiao-chen;CHEN Wei-yu(School of Mechanical and Electronic Engineering,Nanjing Forestry University,Nanjing,Jiangsu 210037,China)
出处
《教育教学论坛》
2024年第23期109-112,共4页
Education And Teaching Forum
基金
2017年度国家自然科学基金项目“编织复合材料不确定性分布式参数识别方法研究”(11602112)
2023年度国家自然科学基金项目“基于等几何分析的高空长航时飞行器气动弹性耦合建模与颤振预示”(52202445)
2020年度江苏省高校自然科学基金“非线性动力学模型修正的灵敏度分析方法研究”(20KJB460003)。
关键词
模态分析
信号处理
傅里叶变换
不平衡信号提取
案例教学
Modal Analysis
signal processing
Fourier Transform
unbalance signal extraction
case teaching
