955 results about "Vibration based" patented technology

The invention discloses a vibration monitoring-based wind generator set automatic fault diagnosis method. The method comprises the following steps: an acceleration sensor collects original vibration signals, a pre-communication subsystem stores and uploads data, and a central monitoring server receives data and stores the data in a database. The method also comprises the step of establishing a fault characteristic frequency library in the database which is used as the basis of fault diagnosis. The method of the invention can automatically realize the fault early warning and fault diagnosis of the key parts of the wind generator set; and the fault characteristic frequency pool can be continuously updated to realize the self-learning function of the method, thus improving the fault diagnosis function continuously.

An acoustic wave device includes: a first substrate that has a vibration unit that generates solid vibrations based on an input electric signal, and an electrode pad unit that introduces the electric signal into the vibration unit; and a second substrate that has through holes for connecting the electrode pad unit to external electrodes. In this acoustic wave device, at least the vibration unit of the first substrate is hermetically sealed by bonding the first substrate and the second substrate to each other.

The invention discloses a dandelion-like multi-directional broadband piezoelectric vibration energy collection device, comprising a multi-spherical support body, a vibration base and at least two cantilever beams, the vibration base is fixed to a surface of the multi-spherical support body, and each cantilever beam is fixed to the surface of the multi-spherical support body along different directions; the cantilever beam comprises an elastic metal conductive slice, an upper-layer piezoelectricity ceramic piece, a lower-layer piezoelectricity ceramic piece and a mass block, a fixing end of the elastic metal conductive slice is fixed to the surface of the multi-spherical support body, and the mass block is fixed to a free end of the elastic metal conductive slice, and the upper-layer piezoelectricity ceramic piece and the lower-layer piezoelectricity ceramic piece are respectively adhered to an upper surface and a lower surface of the elastic metal conductive slice in same direction. The dandelion-like multi-directional broadband piezoelectric vibration energy collection device can collect the vibration energy with relatively high efficiency no matter how vibration direction changes or when the vibration changes in multiple directions with multiple frequencies.

A vibration-based power generator has a variable stiffness oscillator connected to a base. The oscillator comprises an inertial mass moving relative to the base in response to vibrations. The oscillator has a neutral position corresponding to a position of the oscillator when no vibrations are transmitted to the base. The oscillator has a first position where the mass is at a first distance and a second position where the inertial mass is at a second distance from a position of the mass when the oscillator is in neutral position. The second distance is greater than the first distance. A stiffness of the oscillator at the second position is greater than a stiffness of the oscillator at the first position. A transducer generating electric power in response to movement of the inertial mass is associated with the oscillator. A method of optimizing a vibration-based power generator is also presented.

A virtual reality ride system including a headset, a control unit, and a dynamic platform. The headset includes a display unit configured to display a video of an animated virtual environment. The control unit includes one or more processors configured to perform render processing that renders the video of the virtual environment; event motion processing that generates first data representing motions associated with events in the virtual environment; and low-frequency motion processing that generates second data representing low-frequency vibrations unrelated to the events in the virtual environment. The dynamic platform is configured to produce the motions associated with the events in the virtual environment based on the first data, and to produce the low-frequency vibrations based on the second data. The low-frequency vibrations include a frequency between about 5 Hz and 70 Hz.

The invention discloses a method for evaluating the degree of a mechanical fault of a frame-type circuit breaker based on a vibration signal. The vibration signal in the method is a mechanical vibration signal collected by a frame-type circuit breaker mechanical fault detection system in the switching process of the frame-type circuit breaker. The method comprises the steps: employing a wavelet packet to carry out the denoising preprocessing of the vibration signal; carrying out the adaptive decomposition of a denoised vibration signal through employing a local mean decomposition algorithm; screening out the former d PF components with the maximum correlation with an original vibration signal; carrying out the improved multiscale arrangement entropy analysis of al PF components, and carrying out the dimension reduction of a feature vector formed by the above improved multiscale arrangement entropy values through the PCA method; building a fault feature vector; constructing a multi-class supporting vector machine, and carrying out the pattern recognition; carrying out the quantitative evaluation of the severity of the mechanical fault happening in the switching process of the circuit breaker through referring to the fault degree characteristic curves in different fault modes. The method is stable, is reliable and is effective.

The present invention provides methods of assessing damage on a joint that includes energizing the joint, detecting the vibration of the joint using one or more signal generating sensors, processing the signal(s), and applying a damage index to the processed signal(s), wherein the damage index incorporates a processed control signal generated by a sensor(s) at or near the joint when the joint was healthy, i.e., in a substantially undamaged state. Another aspect of the present invention provides a pipeline that includes at least two pipe segments, at least one joint connecting the two pipe segments, and at least one signal generating sensor affixed to the pipeline that is capable of detecting vibration at or near the joint, at least one signal processor that is capable of EMD processing the signal, and an output device (e.g., computer monitor, LED display, a light bulb, an electronic alarm, or other sound or light generating device).

The present invention provides a laminated piezoelectric downhole energy collection device, which comprises a pipeline, a support frame, a laminated piezoelectric sheet, a mass block, a rectifier circuit and a rechargeable battery. The support frame is connected to the pipeline in the sealed manner and extends out of the pipeline. The support frame has the functions of supporting the laminated piezoelectric sheet, leading out a wire and serving as a bluff body. One end of the laminated piezoelectric sheet is fixedly connected with the support frame, and the other end of the laminated piezoelectric sheet is connected with the mass block. One end of the rectifier circuit is connected to the wire, and the other end of the rectifier circuit is connected to the changing battery. The electric energy generated by the laminated piezoelectric sheet is transmitted to the rectifier circuit via the wire, and is directly used for charging the rechargeable battery after being converted by the rectifier circuit. By means of the device, the electricity is generated directly under the fluid-solid coupled interaction effect inside the pipeline. Therefore, the device is simple in structure and convenient to install. The device can be used for vibration-based power generation in an oil injection well to directly charge downhole batteries.

The invention discloses an analysis method for testing the fatigue life of components based on vibration signals. The analysis method comprises the following steps that (1) a power spectral density function Ga (f) of working field random vibration acceleration load of the components is calculated according to the acquired random vibration acceleration load time domain signals xa(t) of the components; (2) a stress frequency response function HS(f) under the unit acceleration (1g) load of the components is solved by utilizing finite element harmonic response analysis; and a stress power spectral density function of the structure is acquired through combination of (1) based on the working field random vibration acceleration load of the components; and (3) a stress load distribution probability density function of the components is solved according to a Dirlik method by utilizing the working field random vibration acceleration load power spectral density of the components, and a random vibration fatigue analysis load spectrum is established to perform random vibration fatigue analysis on the components. The problem that stress amplitude information of the components working in the complex working conditions is difficult to obtain directly and fatigue life pre-estimation cannot be performed can be solved.

A system and method of operating a vehicle powertrain that employs active control to reduce NVH, particularly during idle. The method includes selectively operating the powertrain in at least a non-idle condition and an idle condition; receiving vibration signals from a sensor disposed on an internal combustion engine; controlling spark timing of the internal combustion engine based on vibration signals received from the sensor; and during the idle condition, modifying a speed and/or a load of the internal combustion engine based on vibration signals received from the sensor.

The invention discloses a large steam turbine-generator set rotor crack fault real-time diagnosis method belonging to the filed of mechanical vibration state monitoring and fault diagnosis. Necessary computational analysis and judgment for vibration data are carried out by collecting the vibration signal of a rotor shaft of a steam turbine. The shaft vibration base frequency vibration amplitude and double frequency vibration amplitude at both sides of the rotor are computed in real time and the shaft vibration base frequency vibration amplitude is validated in real time so that the shaft vibration base frequency vibration amplitude at any side of the rotor is judged whether to be larger than vibration amplitude threshold value. Combined with least square method and product-moment correlation coefficient calculating method, real-time quantitative computational analysis, such as incremental validation of the shaft vibration base frequency vibration amplitude and incremental validation of double frequency vibration amplitude of shaft vibration, is carried out on the vibration data of shaft vibration base frequency. Based on the quantitative computational analysis and combined with each verification result, on-line diagnosis of the generator set whether to have rotor crack fault is automatically carried out in real time. The method has the advantages of scientific method and reliable conclusion, and on-line monitoring and fault diagnosis can be automatically realized in real time.

A vibration detecting device for detecting vibration in a camera, a video movie camera or the like, a vibration reduction device and a micro signal processing circuit. The vibration detecting device comprises a vibration detector for detecting a vibration to output a vibration detecting signal, a calculator for performing a predetermined operation based on the vibration detecting signal, and a controller for determining whether or not an operation output signal of the calculator exceeds a predetermined range. The controller is provided with an operation signal generator for generating an operation signal when the operation output signal exceeds the predetermined range, and the calculator is provided with an initializing portion for returning the operation output signal into the predetermined range based on the operation signal. In the vibration detecting circuit, a DC offset component can be suppressed.

The invention discloses a GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis, belonging to the field of GIS fault monitoring. The system comprises a vibration acceleration sensor, a charge amplifier, a data acquisition instrument and a PC (Personal Computer) all of which are successively connected together in series, wherein the vibration acceleration sensor comprises three vibration sensors which are fixed on the outer surface of a GIS box in the X-axis, Y-axis and Z-axis directions, respectively. The diagnosis method of the system comprises the following steps of: acquiring GIS vibration signals in the X-axis, Y-axis and Z-axis directions by means of the three vibration sensors; performing wavelet de-noising on the vibration signals intercepted by a full period and then performing spectrum analysis; calculating energy at 50 Hz and the sum of energy at 100 Hz, energy at 200 Hz and energy at 300 Hz respectively; comparing the calculated values with the normal state; and determining the GIS fault according to the result of comparison in combination with a threshold. The method is easy in engineering realization, obvious in feature and capable of effectively diagnosing the GIS fault.

An active vibration control system including a sensor responsive to a source of vibration and which provides an output signal representative of the vibrations; at least one actuator positioned to impart canceling vibrations to the source of vibrations based on an input signal; a correction subsystem responsive to the actuator for estimating the sensor output in the absence of the canceling vibrations and which outputs a corrected output signal representative only of the vibrations emanating from the source; and a state space predictor responsive to the corrected output signal for determining the input signal to the actuator based on variations in the corrected output signal to better control vibrations especially in chaotic systems.

An image capturing apparatus comprises: an image sensing unit arranged to sense an object image; a vibration detection unit arranged to detect a vibration applied to the image capturing apparatus; a vector detection unit arranged to detect a motion vector from an image sensed by the image sensing unit; a first calculation unit arranged to calculate a first correction amount from a signal obtained based on an output from the vibration detection unit and a signal based on the motion vector; a second calculation unit arranged to calculate a second correction amount based on the motion vector; a first correction unit arranged to optically correct the vibration based on the first correction amount; and a second correction unit arranged to correct the vibration by changing an image read region based on the second correction amount, wherein vibration correction is performed using both the first and second correction units.

The present invention relates to air cylinder stop control system based on component vibrating and method thereof, particularly relates to a method of changing an active cylinder count of an engine may include determining a vehicle vibration limit and a vehicle vibration level. The cylinder count may be modified (increased or decreased) based upon the vehicle vibration limit and the vehicle vibration level. The vehicle vibration limit may be based upon a vehicle speed, and a coolant temperature of the engine. The vehicle vibration level may be based upon at least one of a desired torque of the engine and a number of active cylinders of the engine. According to other features, the vehicle vibration level may be based upon a measured vibration level of a vehicle component.

A robot includes an angular velocity sensor that detects the vibration of a robot. A control device allows the robot to perform a trial operation and acquires the measurement result measured by the angular velocity sensor during the trial operation as vibration information and analyzes the acquired vibration information based on maker evaluating information that is stored in a database. In the maker evaluating information, vibration information and the operating speed appropriate to the installation situation of the robot at which the vibration information is measured are associated with each other. Then, the robot is operated at an operating speed selected based on the analysis result of the vibration information.

The invention discloses a tool abrasion state monitoring method based on a vibration signal and a Stacking ensemble model. The vibration signal of a machine tool spindle in the machining process is utilized, and the vibration signal is subjected to feature extraction through time-domain analysis, frequency-domain analysis and ensemble empirical mode decomposition (EEMD); then extracted features are screened through a Relief F-SVM algorithm to obtain an optimal feature set; the width of a tool abrasion blade belt serves as the abrasion label value, and an ensemble monitoring model is built based on a Stacking ensemble strategy through the optimal feature set and the abrasion label value; and after the model is built, the vibration signal in the machining process is monitored and processed to obtain the signal feature set to be input into the ensemble monitoring model, and the tool abrasion label value, namely the tool abrasion state is obtained. The tool abrasion state can be monitoredbased on the vibration signal and the Stacking ensemble model.

A driver device that forms an oscillation loop with a vibrator and causes the vibrator to produce driving vibrations includes a current-voltage converter that converts a current that flows through the vibrator into a voltage, an output circuit that causes the vibrator to produce the driving vibrations based on a signal that is converted into a voltage with respect to a given voltage, and a high-pass filter that is provided in the oscillation loop between the current-voltage converter and the output circuit. The driver device causes the vibrator to produce the driving vibrations while changing a reference potential of the high-pass filter, and then causes the vibrator to produce the driving vibrations while fixing the reference potential.