15442results about "Subsonic/sonic/ultrasonic wave measurement" patented technology

Transducers and transducer modules having the transducers are disclosed. An embodiment discloses a transducer that includes a conductive layer having a U-shaped slit toward its swing end. The slit is configured to enhance a haptic feedback or an acoustic propagation, or adjust a resonant mode.

There is described a micromachined ultrasonic transducers (MUTS) and a method of fabrication. The membranes of the transducers are fusion bonded to cavities to form cells. The membranes are formed on a wafer of sacrificial material. This permits handling for fusions bonding. The sacrificial material is then removed to leave the membrane. Membranes of silicon, silicon nitride, etc. can be formed on the sacrificial material. Also described are cMUTs, pMUTs and mMUTs.

A vibration data collection system performs an integration or differentiation process on incoming digitized vibration data in real time. The system uses a digital Infinite Impulse Response (IIR) filter running at the input data rate to provide the integration or differentiation function. With this approach, the system reduces hardware complexity and data storage requirements. Also, the system provides the ability to directly integrate or differentiate stored time waveforms without resorting to FFT processing methods.

Ultrasonic waveguides having improved velocity gain are disclosed for use in ultrasonic medical devices. Specifically, the ultrasonic waveguides comprises a first material having a higher acoustic impedance and a second material having a lower acoustic impedance.

In one embodiment the invention comprises a particle velocity sensor that includes a housing with a geophone mounted in the housing. A fluid that substantially surrounds the geophone is included within the housing. The particle velocity sensor has an acoustic impedance within the range of about 750,000 Newton seconds per cubic meter (Ns/m<3>) to about 3,000,000 Newton seconds per cubic meter (Ns/m<3>). In another embodiment the invention comprises method of geophysical exploration in which a seismic signal is generated in a body of water and detected with a plurality of co-located particle velocity sensors and pressure gradient sensors positioned within a seismic cable. The output signal of either or both of the particle velocity sensors or the pressure gradient sensors is modified to substantially equalize the output signals from the particle velocity sensors and the pressure gradient sensors. The output signals from particle velocity sensors and pressure gradient sensors are then combined.

A method and apparatus for sensing and measuring stress waves. The method comprises the steps of: a.) sensing motion, where the motion comprises a stress wave component and a vibration component; b.) separating the stress wave component from the vibration component with a high pass filter to create a signal proportional to the stress wave; c.) amplifying the signal to create an amplified signal; d.) processing the amplified signal with a sample and hold peak detector over a predetermined interval of time to determine peaks of the amplified signal over said predetermined period of time; e.) creating an output signal proportional to the determined peaks of the amplified signal; and, f.) repeating steps d.) and e.). The invention also includes an apparatus for implementing the method of the invention.

A configurable vibration sensor comprising a sensor circuit, an analog-to-digital converter and a processor, where each sensor circuit comprises a vibration sensing element and a variable bandwidth filter controllable by the processor. In addition to the variable bandwidth filter, other configurable elements may also be employed in the sensor circuit, including a variable gain amplifier. These configurable elements allow the configurable vibration sensor to be configured for different vibration measurement applications when measuring vibrations from vibrating structures such as machinery and the like.

A system and method for real-time monitoring and failure prediction of electrical submersible pumps.

An abnormality diagnosis system for machinery comprises an envelope processing section (103) for determining the envelope of a detection signal, an FFT section (104) for converting the envelope into a frequency spectrum, a peak detecting unit (105) in which the frequency spectrum is smoothed by the moving average method, the resultant spectrum is subjected to a smoothed differentiation, frequency points at which the sign of differential coefficient changes from positive to negative are detected as peaks, peaks higher a predetermined threshold are extracted and sorted, and the higher ones are detected as peaks, and a diagnosis section (T) for performing abnormality diagnosis on the basis of the detected peaks.

A directionally-sensitive device for detecting and processing vibration waves includes an array of polymeric optical waveguide resonators positioned between a light source, such as an LED array, and a light detector, such as a photodiode array. The resonators which are preferably oriented substantially perpendicularly with respect to incoming vibration waves, vibrate when a wave is detected, thus modulating light signals that are transmitted between the light source and the light detector. The light detector converts the modulated light into electrical signals which, in a preferred embodiment, are used to drive either the speaker of a hearing aid or the electrode array of a cochlear implant. The device is manufactured using a combination of traditional semiconductor processes and polymer microfabrication techniques.

An abnormality-diagnosing device is used to diagnose if a bearing device used on the axle of a railway vehicle is normal. The abnormality-diagnosing device comprises a detection processing part, an operation processing part, a result output part and a control processing part, wherein, the detection processing part outputs the signal generated by the bearing device, which is regarded as an electric signal, the operation processing part conducts an abnormality diagnosis on the bearing device according to the output of the detection processing part, the result output part outputs the judgement result of the operation processing part, and according to the judgement result, the control processing part returns a control signal to the control system of the railway vehicle.

The embodiments of the present invention provide a CMUT array and method of fabricating the same. The CMUT array has CMUT elements individually or respectively addressable from a backside of a substrate on which the CMUT array is fabricated. In one embodiment, a CMUT array is formed on a front side of a very high conductivity silicon substrate. Through wafer trenches are etched into the substrate from the backside of the substrate to electrically isolate individual CMUT elements formed on the front side of the substrate. Electrodes are formed on the backside of the substrate to individually address the CMUT elements through the substrate.

The invention discloses a method for vibration online monitoring and fault diagnosis of a power transformer. The surface vibration of an oil tank of a transformer, the voltage, the current and the oil temperature of the transformer, and the switching values reflecting the on-states of a vibration source fan and the oil tank of the transformer are taken as basic monitoring parameters to be monitored; after signal conditioning is performed on the monitoring parameters, continuous synchronous waveform data sampling, processing and saving are performed; then the processed waveform data are continuously displayed in real time; signal decomposition, multi-parameter correlation analysis and characteristic vector magnitude extraction are performed on the waveform data; and then various characteristic vector thresholds of a specific transformer are compared to analyze and diagnose the operating state and the fault of the transformer. With the method, the operating state of the power transformer can be monitored in real time, and early warning as well as the analysis and the diagnosis of the fault condition of the transformer are provided, thus guaranteeing the secure and stable operation of the transformer.

A fiber optic acoustic sensor system including an optical conductor having low reflectivity mirrors is provided. Optical sensors are provided by sections of the optical conductor bounded by pairs of the low reflectivity mirrors. Pulses of light are injected into the optical conductor and reflected by the low reflectivity mirrors. The reflected pulses of light are processed using a compensating interferometer to generate interference patterns representative of the environmental conditions acting upon the optical conductor.

A fiber optic sensor has a hollow tube bonded to the endface of an optical fiber, and a diaphragm bonded to the hollow tube. The fiber endface and diaphragm comprise an etalon cavity. The length of the etalon cavity changes when applied pressure or acceleration flexes the diaphragm. The entire structure can be made of fused silica. The fiber, tube, and diaphragm can be bonded with a fusion splice. The present sensor is particularly well suited for measuring pressure or acceleration in high temperature, high pressure and corrosive environments (e.g., oil well downholes and jet engines). The present sensors are also suitable for use in biological and medical applications.

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.