2328 results about "Vibration detection" patented technology

A method is disclosed for improving head position accuracy in a disk drive during track following of concentric data storage tracks through real-time identification of external vibration and monitoring of write-unsafe (WUS) occurrences. In the method, after a seek operation to a predetermined data storage track, the track is followed using a servo control loop having a nominal gain and responsive to a position error signal (PES). After waiting a vibration detection delay period, occurrences of the PES exceeding a WUS limit are counted generating a WUS limit exception count. Also, a property of a variance is determined from spectral power values generated from the PES during track following. If the WUS limit exception count exceeds a first threshold, and if the property of the variance exceeds a second threshold, the nominal gain is increased to a vibration gain within a frequency band, to attenuate the effect of external vibration.

When outputs from two vibration detection sensors are measured by a Coriolis flowmeter in a form of phase difference time, a tube must be thinned to increase a sensitivity of the flowmeter to enable measurement and accordingly flow velocity and pressure loss increase, and a thickness of the flowmeter must be reduced and therefore a pressure resistance cannot be readily enhanced. In particular, the sensitivity of signals to flow rate is difficult to increase and, accordingly, a flow rate of a low-density gas cannot be accurately measured. In the present invention, a Coriolis vibration frame 16 carrying a U-shaped tube is swingably fixed to a forced vibration frame 19 fixed to a support base 22 to form a highly rigid frame structure limiting a vibrating direction to one degree of freedom in a Coriolis vibration direction. The forced vibration frame 19 is vibrated by a vibration exciter 20 so that a ratio of a forced vibration frequency to the Coriolis frequency of a pipeline is at least 1 to 10. The ratio of the amplitude of the forced vibration to the amplitude of the Coriolis vibration is calculated based on signals from two vibration sensors such as acceleration sensors 17 and 18 to measure the mass flow rate of a fluid flowing in the pipeline.

The invention discloses an indoor emergent abnormal event alarm system. The indoor emergent abnormal event alarm system comprises a video collecting module, an audio collecting module, a heat releasing infrared detection module, a vibration detection module, a glass breaking detection module, a door magnet detection module, a signal processing module, a wireless receiving module, an alarm sending module, an alarm linkage module, a voice output module, an infrared light-emitting diode (LED) light-compensating lamp module, and a power management module. The indoor emergent abnormal event alarm system conducts real-time dynamic detection analysis on emergent abnormal events that people fall down and lay on the floor for a long time, illegal break-in, theft, violent physical confrontation, fire accidents, coal gas leakage, explosion and the like in an indoor deployed and controlled area, sends intuitive alarm signals which take audios, videos or pictures as carriers in a wire communication mode or a wireless communication mode to alarm receiving and processing terminals such as a mobile phone or a computer of a householder and residential area monitoring computers in the first time, associates with the audible and visual alarm device to give an alarm, and receives voice output of receiving terminal devices to achieve voice talkback.

An information processing apparatus includes: touch operation sections provided to be spaced from each other by a specified distance and detect a position touched by an operating part; a drag detection section to detect a drag moved in a state where the operating part touches the touch operation sections; a vibration detection section to detect a vibration amount of the touch operation sections; a vibration acquisition section to acquire the vibration amount in a period after the drag detection section detects that an arbitrary touch operation section is dragged among the touch operation sections and before the drag detection section detects that another touch operation section adjacent to the arbitrary touch operation section is dragged; and a drag determination section to determine, based on the vibration amount, whether the drag on the arbitrary touch operation section is continuous with the drag on the another touch operation section.

The invention discloses an intelligent recognition monitoring system and method for an unmanned substation. Based on a complete IPVS (internet protocol video monitoring system), the monitoring system comprises a front-end video acquisition layer, a video storage layer and a peripheral warning layer, the front-end video acquisition layer performs real-time video monitoring for the substation by the aid of a network camera with an intelligent recognition function and transmits monitoring data to a monitoring center through a network transmission layer, the video storage layer includes substation information on-site scatter storage and monitoring center concentrated storage, the peripheral warning layer acquires environmental information through an infrared/microwave sensor, a vibration detection device and a temperature and humidity acquisition device in real time, and the monitoring center receives abnormal information transmitted by the front-end video acquisition layer, further judges the information, sieves local alarms caused by normal operation and remotely gives an alarm when abnormity really exists. An intelligent recognition module adopts different recognition algorithms for different monitoring objects, the running state of a target device and the running environment of the substation can be rapidly analyzed, and unattended operation of the substation is truly realized.

A display input device is comprised of a touch panel 1 for carrying out a display of information and an input of information, a vibration detection sensor (proximity sensors 12 or an acceleration sensor 23) for detecting a vibration of an object to be detected which is positioned opposite to the touch panel 1, and a control unit 3 for, when it is determined that a relative vibration between the touch panel and the object to be detected, which is detected by the vibration detection sensor, has an amount equal to or larger than a predetermined amount, carrying out a process of enlarging an image in a display area having a fixed range, which is displayed on the touch panel 1, to display the enlarged image.

A blur correction camera system includes a blur correction lens driven based upon the vibration detection signal detected by an angular velocity sensor, that corrects an image blur, a point-image function computing unit that computes a point spread function, and an image restoration computing unit that corrects an image blur by executing image restoration through image processing on a captured image by using the point spread function. The image blur that cannot be completely corrected by the blur correction lens is further corrected through image restoration so as to obtain a high quality image.

The invention relates to a fault diagnosis method, in particular to a rolling bearing fault diagnosis method based on the vibration detection. The method comprises the following steps of firstly decomposing the rolling bearing data collected by an acceleration sensor into three layers of wavelet packets, solving the energy of a third layer of wavelet packet coefficient rebuilding signals, selecting a frequency band with centralized energy to rebuild approximate evaluation of an original signal according to the variation of energy values of each frequency bands of the third layer; and utilizing a cepstrum to further analyze the rebuilt signal, and comparing the rebuilt signal with a theoretically-computed fault characteristic frequency and an edge frequency characteristic. By combining multiple resolutions of the wavelet packet and the cepstrum, the periodic component on a power spectrum, a separated-side frequency-band signal and the characteristics which are slightly subjected to the transmission route can be well detected. Meanwhile, the method is strong in manipulability and practicability.

A module for on-line vibration detection and adjustment and machining center using the same are provided in the present invention, wherein the module is disposed at the machining center having an interface of feedrate override and an interface of spindle override and the inverter. The module comprises at least one vibration sensor for detecting the vibrating status of the machining center, thereby generating corresponding at least one sensing signal and a processor for processing the at least one sensing signal so as to generate a spindle adjusting signal for the interface of spindle override and the inverter and a feedrate adjusting signal for the interface of the federate override. The computer numerical controller receives the spindle adjusting signal and the feedrate adjusting signal from the interface of the spindle override and federate override respectively and accordingly controls the feedrate and spindle rate of the machining center.

The invention discloses a device and method for detecting the health condition of an elevator. The device comprises a vibration detection component, a power measurement component, a carrying capacity measurement component, a GPRS/4G gateway, a central server, a data processing module and the like. According to the method and device for detecting the health condition of the elevator, key data such as vibration parameters, balance coefficients and transmission loss coefficients of operation of the elevator and other data such as conventional fault alarming data are given, and the health condition of the elevator is comprehensively elevated. By means of the health data provided by the device, maintenance personnel can be helped to suit the operation to the situation, and potential safety hazards are eliminated. Elevator factories can also be assisted in analyzing the quality of the elevator, and the manufacturing and design level is increased.

A device for checking a cutting tool comprises a vibration sensor (17) for detecting vibrations of a machining center (1) operating with a cutting tool (70); a peak detector (22) for periodically counting the number of peaks exceeding a predetermined value in the vibrations detected by the sensor (17); a comparator (23) for comparing the number of peaks detected by the peak detector (22) with a predetermined threshold and producing a comparison signal when the number of detected peaks exceeds the predetermined threshold; an interrupter (24) for sending an interrupt signal to a controller (13) of the machining center (1) in response to the comparison signal from the comparator (23); and a wireless unit (25) for telling the operator to replace the cutting tool.

The invention includes a vibration reduction mechanism, a vibration detecting part, a reference signal generating part, a target drive position calculating part, and a driving part. The vibration reduction mechanism reduces a vibration of a subject image. The vibration detecting part outputs a vibration detection signal. The reference signal generating part estimates a reference signal of the vibration detection part. The target drive position calculating part obtains a vibration component from a difference between the vibration detection signal and the estimated reference signal to obtain a target position to which the vibration reduction mechanism is driven. The driving part controls the vibration reduction mechanism to follow the target position. Particularly, the reference signal generating part corrects the reference signal according to a motion signal obtained from a captured image. An accurate reference signal can be obtained by the correction, thereby improving the performance of the vibration reduction.

The invention provides an optical fiber vibration identification system based on a phi-OTDR technology and an optical fiber vibration identification method thereof. The monitoring distance of the system is greatly enhanced through a dual-path detection structure; the adaptability of the system for environmental noise changes is enhanced by the method of characteristic threshold dynamic updating, and a vibration event is accurately positioned; background noise in signals can be greatly reduced through spectral subtraction noise reduction under the condition of maintaining the signal characteristic and energy of the vibration signals, and the signal-to-noise ratio of the signals and the sensitivity of system detection can be enhanced; and multi-characteristic parameter mode identification is performed on the vibration signals from the time domain and the wavelet domain so that the influence of other complex time-dependent interference noise can be effectively avoided, the correct rate of vibration event detection and vibration type classification can be enhanced, the false alarm rate of the system can be reduced, the detection performance of a vibration detection system based on the OTDR technology in the actual complex noise environment can be enhanced, and the national major project application requirements in the aspects of boundary safety and long-distance pipeline safety can be met.

A device for fault diagnosis of electric brush slip ring and method for mechanism diagnosis and maintenance and design are provided. The device for fault diagnosis of electric brush slip ring comprises at least one or more vibration shock sensors and/or shaft voltage detection sensors fixed on the machine casing of the electric brush, and a vibration and resonance demodulation fault diagnostic apparatus having diagnostic software for fault of electric brush slip ring and connected with the vibration shock sensors and/or shaft voltage detection sensors; the diagnostic software for fault of electric brush slip ring is used for analyzing the signals obtained by the vibration shock sensors and identifying the fault of the electric brush slip ring; and the vibration and resonance demodulation fault diagnostic apparatus has a vibration detection channel, a resonance demodulation detection channel and a computer having an AD converting acquitter and diagnostic software, wherein the detection signals of the vibration shock sensors and/or shaft voltage detection sensors are connected to the output end of the vibration detection channel and resonance demodulation detection channel; the output vibration and shock signals of the vibration detection channel and resonance demodulation detection channel are connected to the AD input end of the computer having an AD converting acquitter and diagnostic software; and the diagnostic software of the computer is for diagnosing fault, analyzing fault mechanism and determining maintenance and improved design for the acquired information.

An apparatus is disclosed as part of a system for tracking and confirming delivery of a medicinal dose to a user. The apparatus includes a detector. The detector is secured to and communicatively coupled to the user and is capable of detecting a current flow through the user's body. The current flow is produced when the user makes contact with the apparatus. The apparatus includes at least two contact areas connected to a power source where a circuit and, hence, a current path is completed through the user's body as the user makes contact with the apparatus. The current flow is detected by the detector, which is coupled to the user. Also disclosed is an apparatus for tracking and confirming delivery of a medicinal dose to a user where the apparatus includes an acoustic detector. Upon loading the dose into a chamber an acoustic vibration is generated. The vibration is detected and correlated with a current flow that is produced when the user makes contact with the apparatus. The combined event of vibration detection and current flow detection confirms that the dose is loaded and the user is in contact with the apparatus and ready to receive the dose.

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.

Embodiments of the present invention improve upon component level inspection performed by pick and place machines. Such improvements include providing first article inspection in pick and place machines by collecting images of the placement event inside the machine and identifying errors as they happen. By displaying this information as it is generated on the machine, the operator can take prompt and effective corrective actions. In one embodiment, images are taken of the placement location before and after placement of the component. These images are then processed and displayed to the operator shortly after the placement has completed. In addition to the images, key measurements are displayed to the operator to assist in the diagnosis of problems as they occur. Key features that are presented to the operator include absence/presence detection, vibration detection and manual visual inspection.

The invention discloses a method for detecting a locomotive bearing fault. For a practical condition of the locomotive, the method disclosed by the invention adopts a combination of a temperature detection method and a vibration detection method to perform detection on a bearing fault of the locomotive. When the temperature detection is employed to detect the locomotive bearing fault, a temperature trend analysis method and an advanced interference processing method of catching an early warning and protecting alarm. When the vibration method is adopted to detect the locomotive bearing fault, the combination of the simple diagnosis and the precise diagnosis and the combination of the vibration detection and shock pulse detection are adopted. As a result, the invention can perform early alarm on the axle fault of the locomotive, can promptly process the axles having an early stage fault, and prevent the unsafe accident from happening.

The invention provides an overhead transmission line vibration monitoring method, a device and a system therefore. The method comprises: processing online detection on the vibration acceleration speeds at a plurality of vibration detection points on an overhead transmission line; using each vibration detection point to wirelessly emit detected self vibration acceleration speed; using a remote antenna to receive the vibration acceleration speed data emitted wirelessly from each vibration detection point, and generating a vibration track of the line according to the received vibration acceleration speed data of different vibration detection points on one line. The invention can quantitatively monitor the track, amplitude and vibration order and the like for the vibration of overhead transmission lines, and realize online detection on the vibration of overhead transmission lines.

The invention provides a method for determining vibration-related information by projecting an aerial image at an image position in a projection plane, mapping an intensity of the aerial image into an image map, the image map arranged for comprising values of coordinates of sampling locations and of the intensity sampled at each sampling location, and measuring intensity of the aerial image received through a slot pattern. The method further includes determining from the image map a detection position of a slope portion of the image map, at the detection position of the slope portion, measuring of a temporal intensity of the aerial image and measuring of relative positions of the slot pattern and the image position, the relative positions of the slot being measured as position-related data of the slot pattern and determining from the temporal intensity of the aerial image vibration-related information for said aerial image.