电子设计工程
電子設計工程
전자설계공정
Electronic Design Engineering
2015年
20期
110-113
,共4页
振动分析%倍频程%频域分析%多抽样率原理%FPGA
振動分析%倍頻程%頻域分析%多抽樣率原理%FPGA
진동분석%배빈정%빈역분석%다추양솔원리%FPGA
vibration analysis%octave%frequency domain analysis%multi-rate%FPGA
船舶航行过程中产生的振动会影响船上人员的舒适性、降低船体结构耐久性并影响舰船的隐身性能. 船体振动评估对于船舶的防振隔振设计、确定振动量级并判断是否满足衡准要求具有重要意义. 随着技术的进步和使用要求的提高,对船体振动评价的客观性和全面性也越来越高.倍频程分析是振动分析中常用的频率分析方法,早期的方法是带通滤波器法,需要采用大量的滤波器以提高频率分辨率,导致计算量大运算时间长. 为此,提出了基于多抽样率原理的倍频程频域方法.论文对该频域方法进行了详细介绍,对方法的谱分辨率、计算量和存储空间进行了分析对比,基于FPGA搭建了船舶振动采集分析系统,在FPGA中对算法进行了实现,最后对实测船舶振动信号应用多抽样率倍原理进行了倍频程分析.
船舶航行過程中產生的振動會影響船上人員的舒適性、降低船體結構耐久性併影響艦船的隱身性能. 船體振動評估對于船舶的防振隔振設計、確定振動量級併判斷是否滿足衡準要求具有重要意義. 隨著技術的進步和使用要求的提高,對船體振動評價的客觀性和全麵性也越來越高.倍頻程分析是振動分析中常用的頻率分析方法,早期的方法是帶通濾波器法,需要採用大量的濾波器以提高頻率分辨率,導緻計算量大運算時間長. 為此,提齣瞭基于多抽樣率原理的倍頻程頻域方法.論文對該頻域方法進行瞭詳細介紹,對方法的譜分辨率、計算量和存儲空間進行瞭分析對比,基于FPGA搭建瞭船舶振動採集分析繫統,在FPGA中對算法進行瞭實現,最後對實測船舶振動信號應用多抽樣率倍原理進行瞭倍頻程分析.
선박항행과정중산생적진동회영향선상인원적서괄성、강저선체결구내구성병영향함선적은신성능. 선체진동평고대우선박적방진격진설계、학정진동량급병판단시부만족형준요구구유중요의의. 수착기술적진보화사용요구적제고,대선체진동평개적객관성화전면성야월래월고.배빈정분석시진동분석중상용적빈솔분석방법,조기적방법시대통려파기법,수요채용대량적려파기이제고빈솔분변솔,도치계산량대운산시간장. 위차,제출료기우다추양솔원리적배빈정빈역방법.논문대해빈역방법진행료상세개소,대방법적보분변솔、계산량화존저공간진행료분석대비,기우FPGA탑건료선박진동채집분석계통,재FPGA중대산법진행료실현,최후대실측선박진동신호응용다추양솔배원리진행료배빈정분석.
Vibration is one of the main factors affecting the habitability of ships, degrading the durability of the ships' structure and stealth performance as well. Estimating the vibration of ships is important for both vibration isolated designing and evaluating whether the magnitude of vibration meets the criterion. The requirements of objectivity and comprehensiveness for ship vibration evaluation become more and more demanding. Octave frequency spectrum analysis method is a commonly used in vibration analysis. The bandpass filter bank method is commonly used to implement octave analysis, but that incurs heavy computation when large amounts of filtering calculation are needed in order to improve the frequency resolution. Therefore, a multi-rate octave analysis method is proposed and introduced in detail. Resolution, computational complexity and memory space of the two methods are compared. The algorithm is implemented in FPGA based ship vibration data acquisition system, and the collected vibration data is analyzed via multi-rate spectrum octave method.