| 1. | Because of its invariability , poles is the most effective characteristic signal of the radar target in resonance region 极点是谐振区表征雷达目标的有效特征,其具有不变性。 |
| 2. | Adopting the method of time domain and frequency range , the breakdown characteristic signal is analyzed , and the information of the abnormal state of valve clearance is obtained 并采用时域,频域的分析方法对故障特征信号进行分析,从而得到气门间隙异常状态的信息。 |
| 3. | The corrosion current and impressed against - corrosion current of a ship modulated by shaft ' s rotation will generate an extremely low frequency electric field ( elfe ) which becomes a kind of important characteristic signal in sea water 摘要舰船的腐蚀和防腐电流经螺旋桨转动的调制后在海水中会?生极低频电场,成?一种重要的特征信号源。 |
| 4. | After the high - g arrayed micro - accelerometer was designed and fabricated successfully , this paper analyzed the characteristic signal of accelerometer in order to supply the theory sustain for the application of sensor 本文在钻地引信用高g阵列式微加速度计的成功研制基础上,首先对加速度计试验信号进行特征分析,为传感器应用提供理论依据。 |
| 5. | The current radar scout system has some problems for processing multiform signals , confronting the complex electromagnetic environment and various radar characteristic signals . the adaptive front - end in receiver can solve these problems , and this dissertation analyzes it 面对日趋复杂的电磁环境以及变化繁多的雷达特征信号,现有的雷达侦察接收系统对多种信息的处理显得力不从心,本文从接收机前端考虑,对其中的一种解决方法? ?自适应的接收机前端进行分析、研究。 |
| 6. | By the result of these experiments , acoustic emission ( ae ) was chosen to use in the research . at the same time , we analyse the phenomenon of acoustic emission at the base of theory , the characteristic signal of acoustic emission which comes from the faulty bearing at the angle of application , and the expression of the characteristic signal . contrast was also made on the data achieved separately from vibrational signal and ae signal , and it is proved that ae is feasible and available to the diagnosis to the fault of the rolling bearing 主要工作有如下几方面:对本段前期实验室阶段采用的振动法幅值域无量纲处理进行了分析,并研制了现场所使用的滚动轴承故障检测装置,将无量纲参数诊断法应用于段修现场,且做了大量试验;对于现场试验中所出现的问题进行了分析,提出将声发射的方法用于轴承的在线故障诊断;从理论上分析了声发射现象,从应用的角度分析故障轴承的声发射信号的特征以及声发射信号特征的表示方法,并在实验室中,采用振动法和声发射法实时检测的实验数据进行了对比和分析,证明了使用声发射法对轴承故障检测的可行性和有效性。 |
| 7. | In order to study the characteristic signals according to the quality of the welding with dissimilar gaps , the self - made real - time monitoring system with coaxial sensors is applied to acquire and extract coaxial signal , and then the signals are analyzed with modes analysis , subsection power analysis and wavelet analysis 摘要为了研究不同间隙下激光拼焊的焊缝质量及其对应的信号特征,采用自制同轴传感系统采集提取多种间隙下焊接时的同轴光信号,并对信号进行众数分析、分段功率谱分析和小波分析。 |
| 8. | The balanced multiwavelet was studied . for low - pass matrix filter p ( ) , the orthogonal matrix r was selected to ensure the constant signal as a characteristic signal of balanced low - pass matrix filter rtp ( ) r , the corresponding balanced high - pass matrix filter is q ( ) r or rtq ( ) ) r which maintain the orthogonality and symmetry or orthogonality only respectively . as an application , the optfr - multiwavelet constructed by jiang was balanced and applied to image denoising and fusion 研究了多小波的平衡处理,对低通滤波器p ( )一般选择平衡器为正交矩阵r ,使得常数信号成为平衡后的低通滤波器r ~ tp ( ) r的特征信号,若要保持矩阵滤波器的正交性和对称性,可选择平衡后的高通滤波器为q ( ) r ;若只保持多小波的正交性,可选择高通滤波器为r ~ tq ( ) r 。 |
| 9. | Secondly , the wavelet transform of ae signals collected in experiment is carried out with db6 wavelet and scale 3 on the basis of the signal ' s frequency analysis . the high frequency d , signal is ae characteristic signal . and by choosing the level ' s wavelet coefficient as its input , the wavelet - neural networks can be trained with the data of ae experiment , and the ae signals can be effectively recognized 然后,在实验与对实验所采集数据频谱分析基础上,根据对小波分析用于信号处理可行性研究,本文选择db6母小波、尺度j = 3对实验所采集数据信号进行小波变换,变换后其高频成分d _ 1信号即为声发射特征信号。 |
| 10. | And an intelligent fault detecting system is established . starting from analyzing the possible faults existed ; relations between the fault patterns of the wall - climbing robot and the characteristic signals are established . so the problem of fault detection of the robot is in essence a problem of pattern recognition 主要内容如下:对壁面机器人的可能故障进行分析,总结系统可能的故障类型,并选择体现不同故障类型的特征信号,构建系统的故障空间和故障征兆空间,建立了两者之间的映射关系,并在此基础上制定了故障诊断方案。 |