496 results about "Machine vibration" patented technology

The invention provides a universal circuit breaker mechanical fault diagnosis method based on feature fusion of vibration and sound signals. The method includes steps of 1, collecting machine vibration signals and machine sound signals during an engaging and disengaging process of a universal circuit breaker; 2, adopting an improved wavelet packet threshold value denoising algorithm for denoising; 3, adopting a complementary total average empirical mode decomposition algorithm for extracting a plurality of solid mode function components reflecting state information of engagement and disengagement actions of the circuit breaker from the denoising signals; 4, determining the number Z of the solid mode function components; 5, calculating the energy ratio, the sample ratio and the power spectrum entropy as three types of features; 6, adopting a combination core principal component analysis method for performing dimension reduction on a feature sample with unified three types of features of the vibration and the sound signals and obtaining M principle components; 7, establishing a related vector machine based sequence binary tree multiple classifier model.

The invention discloses a vibration control method for a wind generator set tower. The method comprises the steps of collecting motor rotation speed data in real time and utilizing a cabin vibration sensor to collect vibration signals; converting the collected vibration signals into vibration signal peak-to-peak values, and when the vibration signal peak-to-peak values exceed a set alarm value, triggering vibration alarm and performing real-time frequency spectrum characteristic analysis; obtaining real-time frequency spectrum characteristics and a wind wheel rotating speed value at the time; comparing a complete machine vibration frequency point corresponding to the wind wheel rotating speed value in complete machine vibration frequency characteristics obtained in advance and energy concentration degree under the frequency in a real-time frequency spectrum characteristic spectrum, and analyzing vibration reasons and correspondingly performing vibration reduction processing according to the different reasons. According to the vibration control method, the reasons for causing complete machine vibration are distinguished through a spectral analysis algorithm, so that cabin vibration of a wind generator is controlled to guarantee complete machine safety, times of shutdown caused by vibration is reduced, and the wind generator set utilization rate is improved.

A sensor unit is configured as a single body, removably mounted in its entirety to a test point location on a machine so machine vibrations propagate into the single body. Within are an accelerometer, circuit board, wireless interface, signal processor, and battery. The sensor unit transmits sensor data wirelessly in real time to a data collection unit. A technician with data collection unit in hand goes from machine to machine, along a route of multiple test point locations on multiple machines, mounting and dismounting the sensor unit and collecting machine vibration data. The sensor unit is configured to reduce frequency response impacts of the mass and volume of the circuit board, wireless interface, signal processor, and battery on dynamic behavior of the sensor unit with respect to machine vibrations to achieve a frequency response rating comparable to a wired sensor.

The invention provides a flexible clamp device for weak rigidity workpieces. The flexible clamp device for the weak rigidity workpieces is formed by a plurality of clamp assemblies jointly; every clamp assembly is formed by an execution module, an information collection module and a control module; every execution module comprises a clamping mechanism, a lifting mechanism and a horizontal moving mechanism; the clamping mechanisms are driven by the lifting mechanisms and the horizontal moving mechanisms to ascend, descend and horizontally move; every lifting mechanism comprises a lifting platform; the horizontal moving mechanisms are fixedly arranged on the lifting mechanisms; the clamping mechanisms are fixedly arranged on the horizontal moving mechanisms; every information collection module comprises a vibration displacement sensor, a vertical displacement sensor, a horizontal displacement sensor and a pressure sensor; every control module comprises an information collection card, a PC (Personal Computer) machine and a controller; the information collection cards are connected with the sensors; the PC machines are used for processing information of the information collection modules; the operation of the mechanisms is controlled by the controllers. According to the flexible clamp device for the weak rigidity workpieces, the size of clamping force and the position the clamping force taking effect on can be adjusted automatically, the integral deformation of the workpieces is reduced, and meanwhile the machining vibration of the workpieces is restrained and the milling stability of the workpieces is improved.

The invention provides a method for optimizing uncertain curve-surface five-axis numerical control process parameter of the cutter modal parameters, belonging to the technical field of computer numerical control machining. The method for optimizing the machining process parameter comprises the steps as follows: firstly, the uncertain area of the cutter system modal parameter is obtained; a five-axis milling machining dynamic model is established; the input parameter of the model comprises a cutter system modal parameter area, a cutting force coefficient, a cutter geometry and a cutter path; the five-axis milling machining vibration stabilization curve is calculated; and by taking the five-axis milling machining vibration stabilization curve as a constraint, the process parameter optimization model is established and worked out by a sequence nonlinear planning method so as to obtain the optimized process parameter. As the invention considers the uncertainty of the cutter system modal parameter and is closer to the real machining condition, thus improving the exactness of the vibration prediction during the machining.

Vibrations at harmonic frequencies are reduced by injecting harmonic balancing signals into the armature of a linear motor / alternator coupled to a Stirling machine. The vibrations are sensed to provide a signal representing the mechanical vibrations. A harmonic balancing signal is generated for selected harmonics of the operating frequency by processing the sensed vibration signal with adaptive filter algorithms of adaptive filters for each harmonic. Reference inputs for each harmonic are applied to the adaptive filter algorithms at the frequency of the selected harmonic. The harmonic balancing signals for all of the harmonics are summed with a principal control signal. The harmonic balancing signals modify the principal electrical drive voltage and drive the motor / alternator with a drive voltage component in opposition to the vibration at each harmonic.

The invention belongs to the field of mechanical device vibration monitoring and fault diagnosis, and particularly relates to a multiband envelope spectrum array used for rotating machine fault diagnosis. Vibration signals of different frequency bands are obtained by conducting multi-narrow-band filtering on a rotating machine vibration signal which is picked up, the envelop demodulation analysis is conducted on the multiple sets of vibration signals of different frequency bands, and envelop spectrums of the multiple sets of signals are obtained and converted into the three-dimensional envelop spectrum array (graph) with vibration frequencies as x-axis coordinates, narrow-band filtering central frequencies as y-axis coordinates and vibration amplitudes as z-axis coordinates. On the basis of the spectrum envelope array, the fault modulation frequency, the fault occurrence part and the fault damage degree of a rotating machine can be rapidly and visually judged, and the intelligent fault diagnosis can be conveniently achieved.

The invention discloses an intelligent detection and active inhibition device for fluttering of a high-speed milling electric spindle. According to the device, in the milling process, a vibration signal of a spindle tool handle is collected in real time through built-in acceleration sensors, built-in displacement sensors and an external data collection and analysis meter; the acceleration vibration signal is analyzed in real time through a modern signal processing method, so that intelligent detection of milling fluttering is achieved; and if fluttering occurs, the vibration information collected by the displacement sensors is transmitted into an FPGA controller, the controller carries out adaptive optimization, a driving signal is output, a piezoelectric actuator is driven by a power amplifier to operate, mutual offset of secondary vibration and machining vibration of the piezoelectric actuator is achieved, and intelligent and active inhibition of the fluttering is achieved. Visual displaying and monitoring of the state information, comprising vibration, displacement, temperature and the like, of the whole system can be achieved on a computer in real time in the machining process. The intelligent detection and active inhibition device for the fluttering of the high-speed milling electric spindle can effectively improve milling stability, milling quality and milling efficiency.

Machine vibration baselines are synthesized without averaging historical vibration data. Instead machinery configuration information is used, including data about the machine train, the machine's rotating components, and the machine speeds. For each component being considered, a plurality of parameters is identified for deriving baseline portions. The parameters for one component are used to identify baseline vibration amplitude floor values, vibration amplitudes at frequencies corresponding to various harmonics of a rotational speed, and vibration amplitudes corresponding to forcing frequencies and their harmonics / sidebands. Parameters for other components also may be used to identify amplitudes at harmonic frequencies and forcing frequencies.

An apparatus includes an external input device that allows setting of the amount of runout and the phase of each cutting edge, a computation device that acquires the rotational phase of a tool and that computes the angular velocity and the phase of vibration of two, X-axis and Y-axis, feed shafts on the basis of the input amount of runout and angular velocity of each cutting edge to generate a feed shaft control signal, and a numerical control device that controls feed in the X-axis and the Y-axis directions. The numerical control device relatively vibrates a workpiece in synchronization with the angular velocity of the tool on the basis of the results of computation performed by the computation device.

A disk drive mounting system for isolating a disk drive assembly from machine vibration and shock. In one embodiment, the system includes a suspension frame and a disk drive assembly mounted to the frame using biased vibration isolation members, such as springs, which are each substantially aligned through the center of mass of the disk drive assembly. Accordingly, vibrational forces can be transmitted through the center of mass of the disk drive assembly. Preferably, the disk drive assembly includes a mounting chassis which holds a hard disk drive and includes openings through which damping bumpers can extend. In this embodiment, the bumpers each have a base portion and an extension portion, the extension portion extending through the openings in the mounting chassis to limit the transfer of shock to the disk drive. The bumpers can be attached to the suspension frame and / or to a protective cover for the assembly. Preferably, a slide bracket is provided to allow the system to be easily mounted to a machine tool system surface.

The invention discloses a multipoint flexible rolling supporting head for a mirror image machining device. The multipoint flexible rolling supporting head comprises a base, a plurality of elastic supporting rods and a plurality of flexible rolling parts. The bottoms of the elastic supporting rods are arranged on the base and are arranged in a circumferential array mode. The top ends of the elastic supporting rods are connected with the flexible rolling parts respectively, when a cutter at a thin-wall workpiece machining side begins to conduct machining, the base moves along with the cutter at the same speed and in the same direction, the centers of all the elastic supporting rods are in mirror symmetry with the cutter, and machining vibration of a thin-wall workpiece is relieved. According to the multipoint flexible rolling supporting head, the effective supporting area is enlarged, the vibration of the workpiece can be effectively relieved, and accurate machining of thin-wall components is achieved.

The invention relates to a piezoelectric-static composite micro machine vibration energy collector and a manufacture method of the collector, and relates to an energy collecting device. The piezoelectric-static composite micro machine vibration energy collector comprises a chip main body and a chip external circuit, wherein the chip main body is of a three-layer laminated structure, and the chip main body comprises an upper glass piece device, an SOI (Silicon On Insulator) piece device, a lower glass piece device, a piezoelectric ceramic wafer device, a piezoelectric ceramic wafer electrode and a variable capacitance plate electrode. The chip external circuit is provided with a rectification circuit, a filter capacitor, a first switch, a second switch and an energy storage capacitor, or is provided with a rectification circuit, a filter capacitor, a first switch, a second switch and an energy storage capacitor and a variable capacitance plate starting power supply. The manufacture method comprises the following steps of: manufacturing the lower glass piece device; manufacturing the SOI piece device; manufacturing the upper glass piece device; assembling; and connecting the chip external circuit. According to the collector and the manufacture method, the process is simple, the defects of poorer device stability and performance and the like caused by,manufacturing a PZT (Piezoelectric Transducer) by using the traditional sol gel can be overcome, and wide band and high efficiency collection of energy can be realized.

An alignment device with one or two optoelectronic transmitting and / or receiving units and an evaluation unit. At least one optoelectronic transmitting and / or receiving unit contains an inclinometer. Furthermore, the transmitting and / or receiving unit is connected to a vibration sensor which can be the inclinometer. Both the result of the alignment process and also the result of the vibration measurement are communicated to the user as an easily understandable characteristic on a display of the evaluation unit. For vibration measurement at a non-rotating part of a machine, an accelerometer / inclinometer sensor may be used for measuring acceleration forces resulting from machine vibrations to be measured and for measuring gravity and an electronic evaluation unit determining the orientation of the sensor with regard to gravity from a stationary component of the sensor output and determining sensor orientation from evaluation of non-stationary components of sensor output.

The condition of a machine is monitored with cyclic time averaging, a technique of allocating vibration energy to particular sources in a complex signal. The cyclic time averaging method is directed at processing time-domain vibration data of the machine to produce an averaged time waveform over a selected cyclic time period. Utilizing cyclic time averaging, the systems and methods analyze machine vibration signals to detect and evaluate specific sources of enemy contribution to the vibration energy of the machine. It is not necessary to employ a triggering signal to obtain the averaged time waveform.

A method of collecting vibration and temperature data with a mobile data collector electro-mechanically connected to a sensory head is proposed. The data collected from a surface of a machine housing having an RFID tag mounted thereon. The method includes the steps of providing the sensory head electrically connected to the mobile data collector and mechanically connected to the machine housing surface, the sensory head including an infrared sensor, an RFID antenna, and at least one magnetic coupling. The sensory head attached to the machine housing surface via the magnetic coupling to enable transmission of machinery vibration through to the mobile data collector. The RFID antenna is positioned proximate the RFID tag and the infrared temperature sensor proximate the machine housing surface. A unique machine asset identifier is read into the mobile data collector via the sensory head RFID antenna and then uploaded into the mobile data collector.

The present invention describes a device incorporating artificial intelligence and corresponding methods for recommending an optimal machinability data selection, especially with machine performance degradation. The device comprises of a first component, which feeds the system with necessary inputs. A second component, which is the main processing unit, acts as an inference engine to predict the outputs. The last component interprets the outputs, conveys the processed outputs to target location and converts them into necessary tasks. The inputs are identified as the machining operations, work piece material, machining tool type, and depth of cut. The input includes machine performance characteristics as well, that is the degradation level of the machine which interrelates with machine vibration and surface finishing. The outputs are the machining parameters, comprising of the optimal cutting speed and feed rate. The inference engine can be established with fuzzy logic, neural network or neural-fuzzy.

A system and method for detecting and analyzing anomalies in a machine during operation. The system and method includes at least one sensor configured to detect characteristics of the machine indicative of machine vibration, at least one other sensor configured to detect characteristics of the machine indicative of other than machine vibration, a plurality of neural networks to receive input data, at least one neural network receiving vibration data from the at least one sensor, and at least one other neural network receiving non-vibration data from the at least one other sensor, and an expert system to receive output data from the neural networks and responsively analyze machine operation for anomalies.

The invention provides a hard rock road-header damping design method based on a multi-tuning mass damper. The hard rock road-header damping design method comprises the steps of establishing a hard rock road-header whole-machine rigid-flexible coupling multi-body dynamics model; 2, calculating hob dynamic rock breaking force and shield-surrounding rock mutual acting force and simulating hard rock road-header vibration exciting force; 3, analyzing and evaluating hard rock road-header driving performance and the whole-machine vibration level; 4, installing the multi-tuning mass damper on a hard rock road-header gearbox; 5, determining the quantity, distribution mode, mass, rigidity and damping of damper bodies in the multi-tuning mass damper by minimizing a minimal whole-machine vibration level index value or a maximal whole-machine vibration level index value of a minimal driving performance index. By arranging the multi-tuning mass damper on the hard rock driving gearbox and optimizing parameters of the multi-tuning mass damper, on the basis of improving or maintaining the hard rock road-header driving performance, the whole-machine vibration can be effectively lowered, and the damage to key parts caused by strong vibration can be avoided or lowered.

The invention discloses a raw material grinding automatic control method. In an automatic state, During amplitude control of a lifting and falling roller, an amplitude scope is tested mainly through observation and lifting and falling operation of a grinding roller is carried out. During control of water pump opening, operation conditions of a material layer thickness and a mill output temperature are integrated, a pid fuzzy control operation method is employed, and the water pump opening value is adjusted to achieve stabilization control effects. During the feed control link, feed quantity is controlled according to a current of a milling machine and a current of a powder selection machine and furthermore the current and the amplitude of the milling machine are stabilized. The problem that parameter adjustment cannot be tracked rapidly in a routine PID is avoided, according to characteristics that fuzzy control is independent from an accurate mathematic model and suitable for non-linear and large time delay production processes, by utilization of fuzzy PID and Bang-Bang control methods, a tracking error convergence speed is quickened, thus the vertical milling control process has a stable dynamic performance, milling machine vibration is reduced, the yield is raised and accurate and rapid control effects are achieved.

The invention discloses a vibration inhibiting method of a cold continuous rolling unit. The method comprises the following steps: 1) arranging a cold rolling unit vibration monitoring device on a fifth or fourth rack of the cold continuous rolling unit which is a five-rack continuous rolling machine, namely, mounting a vibration sensor on a rack housing; transmitting a rolling machine vibration signal to a data acquiring device through the vibration sensor; acquiring and processing the vibration signal through the data acquiring device, and then supplying to the rolling machine vibration monitoring device; determining whether the rolling machine vibrates by the rolling machine vibration monitoring device according to the energy magnitudeof the vibration signal; 2) arranging liquid jetting devices which can independently adjust the flow rate in front of an emulsified liquid jetting beam at an inlet of the fifth or fourth rack of the rolling machine, and jetting the liquid on the upper surface and the lower surface of a strip belt; and 3) determining to start or stop the liquid jetting devices according to the energy value of the of the rolling machine vibration signal monitored by the rolling machine vibration monitoring system or a forward sliding value calculated by a forward sliding value calculating model.

The invention discloses a frame with an automatic shock absorbing function, which includes a support plate, support frames are arranged on both sides of the top of the support plate, and fixed plates are fixedly connected to both sides of the bottom of the support plate. The bottom of the fixed plate is provided with a telescopic rod, the inner side of the telescopic rod is provided with an adjusting rod, the inner side of the regulating rod is provided with an operating handle, the bottom of the telescopic rod is provided with a shock absorber, and the bottom of the telescopic rod runs through to the inner cavity of the shock absorber. The present invention can effectively damp the textile frame by setting chute, connecting rod, pulley, damping spring, movable rod, movable shaft, slider, through hole and sliding rod, which can effectively reduce the vibration of the textile machine. The vibration generated during the working process of the textile frame solves the problem that the textile machine frequently breaks due to the large vibration of the textile frame during the working process.

The invention discloses a special flexible fixture for machining vibration control of complex thin-wall blade parts. The special flexible fixture comprises a bottom plate, wherein a double-pressing plate linkage mechanism, an auxiliary supporting mechanism and a multi-point ejector pin clamping mechanism are sequentially arranged on the bottom plate from left to right; a plurality of the auxiliarysupporting mechanisms are provided; the height of each auxiliary supporting mechanism is adjustable. According to the special flexible fixture, the multi-point ejector pin clamping mechanism is adopted, and the problem that the thin-wall part of the free curved surface is difficult to clamp is solved.; on the basis of positioning and clamping, a magneto-rheological material with controllable performance is adopted, small displacement sensitivity, high output damping and good high-frequency response performance of cutting machining are adopted to control the damping support, so that the rigidity of the machining process is enhanced, and the machining precision of the workpiece is improved; and when a similar part of another size is machined, under the condition that the layout condition ofthe original fixture is not changed, the magnetic rheological damper with different sizes can be replaced by adjusting the distance between the multi-point clamping mechanisms, so that the clamping of the existing workpiece can be met.

It is disclosed that it is used to detect the maintenance needs and abnormal operation of the machine due to the long-term change resulting in the reduction of power. The acceleration detection device is attached to the driven element driven by the servo motor. The processor of each axis control circuit for feedback control of servo motor position and speed performs position and speed feedback control processing for each position / speed control cycle, thereby acquiring current commands and outputting the commands to current loop processing. The detected acceleration value αf is read from the acceleration detection means. When the detected acceleration value is not less than the threshold αs, an abnormal signal is output to display a warning and stop the machine from working. Since the acceleration of the driven element is directly detected by the acceleration detection device, it is possible to safely detect machine abnormalities such as common vibrations due to machine aging, collision of the driven element with other objects, or breakage of the element.

The invention discloses a segmented retardant discharging device. The segmented retardant discharging device comprises an automatic hooking device and a retarder, wherein the automatic hooking device is positioned below the retarder and is connected with the retarder, a spring feeler lever is arranged above the retarder, and the retarder is internally provided with a hydraulic oil path used for controlling hydraulic pressure of the retarder. According to the segmented retardant discharging device disclosed by the invention, by reducing the hydraulic pressure of the retarder in a grading mode, tensile force of a steel wire rope for hanging a heavy hammer is gradually reduced, and the heavy hammer is subjected to putting down in a stair-shaped slow descending mode from a step releasing mode, so that impact to a system due to heavy hammer release is reduced, the rebound of a cargo boom is small, the rope disordering probability of the steel wire rope is low, the abrasion of the automatic hooking device is slight, the whole machine vibration is slight, and the service life is long.

A method of fabricating a dynamo-electric machine rotor is provided. The method includes forming a plurality of laminations, such that a plurality of openings extend through the laminations between an outer peripheral edge and an inner peripheral edge arcuately spaced about the lamination wherein each opening includes an edge with a tongue that extends into the opening, stacking the laminations to form a core wherein adjacent opening are substantially aligned to form a slot in the core and filling the core slots with rotor bar material.

The invention relates to a method for detecting washing machine vibration displacement data based on an MEMS sensor. The method comprises the steps that triaxial acceleration data of a washing machine external barrel are collected by the MEMS sensor; the triaxial acceleration data are converted into corresponding displacement data through the quadratic integral; before conversion, an IIR filter is adopted for filtering away data with the signal frequency lower than the preset frequency; after conversion, the rotating speed of a washing machine is judged, and different IIR filter coefficients and filter gains are selected based on the rotating speed of the washing machine for carrying out correcting and compensation on the displacement data obtained in the previous step, so that various vibration interference signals existing in the washing machine running process are eliminated, and vibration displacement data output with the high precision is obtained. Vibration displacement data are filtered two times, so that the vibration displacement data with the high precision are obtained, the current vibration displacement data are output to a washing machine computer controller in real time, the rotating speed of a washing machine running motor is controlled, the washing program is optimized, the washing machine working noise is lowered, and the washing efficiency is improved.

A vibration-reducing washing machine and a vibration-reducing method therefor. The washing machine has an outer drum, a cabinet, a motor, a main control panel, a damper device, and a vibration detection and control module fixed to the washing machine and connected to the main control panel. The vibration detection and control module detects and calculates vibration data and generates a control signal. The method includes setting a fixed tolerance for washing machine vibration, detecting and calculating vibration data, and comparing the vibration data with the fixed tolerance, and when the detected vibration data exceeds the fixed tolerance, adjusting working parameters of the motor and adjusting a damping magnitude of the damper device until the vibration data detected subsequently is maintained within the range of the fixed tolerance.

A multi-axis vibration sensor with integral magnet optimizes sensor response in a non-permanently attachable package. In a preferred embodiment of the invention, the apparatus includes a housing having a magnet, a multi-axis vibration sensor for sensing vibration along multiple machine axes, and conditioning circuitry disposed within the housing. The magnet enables the apparatus to be placed in sensory contact with the machine. The vibration sensor senses machine vibration along multiple machine axes when the apparatus is in sensory contact with the machine, and the conditioning circuitry optimizes the frequency response of the vibration sensor by reducing the gain of the sensor output at resonance. The vibration sensor may be mounted directly to existing machine structure, such as the machine's outer casing. Two parallel feet facilitate stable mounting of the sensor curved surface. A keyed mounting pad may be employed to facilitate proper orientation of the sensor.

The invention provides a numerical control machining feed rate programming method based on curve smooth deformation, and belongs to the technical field of numerical control machining. According to the programming method, feed rate constraints are divided into neighbor-independent (NI) constraints and neighbor-dependent (ND) constraints. Firstly, the maximum feed rate of the technological requirement is set to be an initial feed rate line, and then a feed rate curve of the neighbor-independent (NI) constraints is obtained through one time of curve smooth deformation. Then a feed rate curve of the neighbor-dependent (ND) constraints is obtained through multiple times of curve smooth deformation via combination of a proportional regulation algorithm. According to the feed rate programming method, a fairing item is added on the basis of curve deformation of pure geometric approximation error constraints so that the obtained feed rate curve has better fairness, fluctuation of the feed rate curve is eliminated to the largest extent and the machining process is ensured to be stable. Objectives that machine tool machining vibration is reduced, machine tool machining is ensured to be stable and component machining precision is enhanced can be achieved so as to possess substantial significance in enhancing machining efficiency and machining quality.