31 results about "Bode plot" patented technology

The invention discloses a holographic dynamic balance method based on empirical modal breakdown flexible rotor, which is characterized by the following: resolving the data of rotor in the whole speed raising course through empirical modal breakdown advantage based on holographic spectrum information integral elementary and system theory; extracting the industrial frequency component; drawing the holographic baud graph; calculating the weight quality and orientation of different rotary speeds, especially near the weight information of critical rotary speed. The invention breaks through the limitation of traditional stable data and reduces the risk, which can reach the better balancing effect.

Defects in components in ICs which may cause circuit failures during operation of the IC are often difficult to detect during and immediately after fabrication of the IC by DC test methods. A method of testing components to detect such defects using AC Impedance Spectroscopy is disclosed. Data may be analyzed using Nyquist plots and Bode plots. Nyquist plots of typical defect types are disclosed. Components may include MOS transistor gate structures, contacts, vias and metal interconnect lines. Components tested may be contained in integrated circuits or in test circuits. Integrated circuits containing components tested by AC Impedance Spectroscopy may be partially fabricated or deprocessed after fabrication.

The invention discloses a method for extracting failure characters of a rotary machine based on a Kalman order-domain-holo-spectrum theory. The capacity of processing unstable signals through Kalman order-domain analysis and the capacity of comprehensively and reliably reflecting the state of a unit through holo-spectrum are utilized in a composite mode. Through combination of the Kalman order-domain analysis and the holo-spectrum analysis, two-dimensional holo-spectrum can be used for failure diagnosis in fluctuation of speed, and force and couple decomposition, and holographic waterfall curve analysis of parking signals can be conveniently carried out. By means of the method, the application range of traditional holo-spectrum is greatly widened, various characteristic parameters of the parking signals are extracted, the defect that in the prior art, only bode plot analysis is overcome, the level and range for monitoring and diagnosing failures of the rotary machine are expanded, and powerful supporting is provided for healthy and reliable operation of the rotary machine.

The invention discloses a rotary machine fault feature extraction method based on a fractional order holographic principle. the rotary machine fault feature extraction method comprehensively utilizes the ability of fractional order Fourier transform for processing non-stationary signals and the ability of holospectrum for accurately reflecting the status of a machine set, and is applied to information extraction and fault diagnosis in the stopping process of a rotary machine. According to the method, the fractional order Fourier transform and the holospectrum are fused from data layers, a two-dimensional holospectrum and a three-dimensional holospectrum are reconstructed, and a holographic waterfall figure is applied to processing non-stationary information of cycling start and stopping; therefore, various feature parameters can be extracted for start and stopping signals, the application scope of the traditional holospectrum is greatly expanded, the traditional limitation of only carrying out Bode diagram analysis is broken through, the level and range of monitor and diagnosis of rotary machine faults are widened, and powerful support is provided for healthy and reliable operation of rotary machines.

The invention discloses a method for quickly computing a Bode plot and a Nyquist plot of rotary mechanical vehicle starting and parking processes. The method is based on rotor vibration signals and key-phase signals, which are measured by an eddy current sensor, of the rotary mechanical vehicle starting and parking processes, and the Bode plot and the Nyquist plot of the vehicle starting and parking processes are quickly computed; and an integral computing process is based on Hilbert transform processing for the vibration signals of the vehicle starting and parking processes, and is combined with phase-retaining filtering processing for the vibration signals and extraction of periodic information in the key-phase signals, so that the Bode plot and the Nyquist plot of the rotary mechanical vehicle starting and parking vibration signals are quickly computed. Experimental data analysis results show that Bode plot and Nyquist plot curves computed by the method are smooth, vibration peak values and vibration phases which are obtained by the method are more accurate, phase computational precision is unaffected by rotation speed, and the method is a good method for computing Bode plots and Nyquist plots of rotary mechanical vehicle starting and parking unsteady signals.

The invention belongs to the field of automatic control technology and particularly relates to a large-envelope flight interference estimation method and device. The large-envelope flight interferenceestimation method and device aim to solve the problem that in the prior art, an analysis method for a rigid aircraft cannot be applied to analysis of flight dynamic characteristics of an elastic aircraft. The large-envelope flight interference estimation method comprises the steps that an input signal and an output signal of a large-envelope aircraft are acquired respectively, fast Fourier transformation signal analysis is performed on the input signal and the output signal, division operation is performed on the signals obtained through analysis, and a Bode plot of the output signal to the input signal is obtained; a sub-region image in the Bode plot is extracted; and the sub-region image of the Bode plot is input into a convolutional neural network model for recognition, and the category of the sub-region image of the Bode plot is obtained to complete large-envelope flight interference estimation. Through the method, a vibration mode offline learning mechanism of a deep learning mechanism and an online robust flexible identification mechanism can be formed, and online measurement and calculation of elastic feature parameters are realized.

A simultaneous rapid open and closed loop bode measurement plot is described in which testing of the servo controlled instrument occurs under closed loop conditions using a binary pseudo-random sequence. The binary pseudo-random sequence is injected into the servo while the system under test is operating closed loop in order to generate bode plots for open loop and closed loop conditions. The present invention provides measurement results approximately 1,000 times faster than a swept sinusoid approach and provides superior dynamic range as compared to random white noise test input sources.

An automatic gain adjustment support device according to this invention supports automatic adjustment of a control gain in a control loop for a servomotor controller which controls a servomotor. The automatic gain adjustment support device includes a frequency characteristic measuring unit, a display unit, a condition setting unit, an automatic gain adjusting unit, and a parameter setting unit. The frequency characteristic measuring unit measures frequency characteristics of the control loop in the servomotor controller. The display unit displays, in Bode diagram form, the frequency characteristics of the control loop. The condition setting unit sets a target gain value at a predetermined frequency. The automatic gain adjusting unit automatically adjusts the control gain in the control loop to the target gain value at the predetermined frequency set by the condition setting unit. The parameter setting unit sets the control gain to the servomotor controller.

The invention discloses a method for drawing a Bode plot, and an oscilloscope. The method comprises the following steps that: obtaining a signal source configuration parameter and a Bode plot displaycoordinate parameter set on the oscilloscope; according to the signal source configuration parameter, calculating signal source frequency; configuring the signal source configuration parameter and thesignal source frequency to a signal source to enable the signal source to generate a detection signal used for detecting a detected amplification circuit; according to the output signal of the detected amplification circuit, calculating the time base and the voltage range of the oscilloscope; according to the obtained amplitude and offset phase of the output signal of the detected amplification circuit as well as a Bode plot display coordinate parameter, calculating an amplitude-frequency point coordinate and a phase frequency point coordinate; and independently according to the amplitude-frequency point coordinate and the phase frequency point coordinate, drawing the Bode plot. Since the oscilloscope can automatically control the signal source and automatically draw the Bode plot according to a small quantity of parameters set by the user, the Bode plot drawing function of the Bode plot is realized, so that tedious work for manually drawing the Bode plot is effectively avoided, and efficiency is improved.

The invention provides a detection method of bending of a rotor of a steam turbine. The method includes following steps: S10, monitoring the steam turbine, and obtaining monitoring data in processes of starting and shutdown of a set; S20, generating a Bode plot of shafting vibration with the change of the rotating speed in the processes of starting and shutdown of the set according to the monitoring data; S30, determining the rotor is bent if a second detection threshold is exceeded, and moving to step S40 if not, wherein the preset second detection threshold is used for comparing vibration values changed with the rotating speed in the shafting starting process; and S40, determining the rotor is bent if a third detection threshold is exceeded, wherein the preset third detection threshold is used for comparing the Bode plot changed with the rotating speed at this shafting start and shutdown. According to the method, an online vibration monitoring and analysis system of the steam turbine is applied, vibration spectrum analysis, a set vibration pass value, a turning current, and the rotor shaking degree are combined, and the function of accurate determination of the bending of the rotor can be realized.

The invention discloses a rotary machine fault characteristic extraction method based on order-holospectrum principle, wherein the ability of order analysis for processing non-stationary signal and the ability of holospectrum for comprehensively and reliably reflecting machine set status are utilized. The ability of order analysis and the ability of holospectrum are fused, so that fault diagnosis an be carried out by utilizing two-dimensional holospectrum when speed oscillation, and force and force couple decomposition and holographic waterfall chart analysis can be carried out conveniently on cycling start and stopping signals. According to the method, the application scope of the traditional holospectrum is greatly expanded, various characteristic parameters can be extracted for the cycling start and stopping signals, the traditional limitation of only carrying out Bode diagram analysis is broken through, the monitor and diagnosis level and range of rotary machine faults are widened, and powerful support is provided for rotary machines healthily and reliably.