公开(公告)号：US20230358598A1

公开(公告)日：2023-11-09

申请号：US18103774

申请日：2023-01-31

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Matthew T. GERDES ,  Guang C. WANG ,  Timothy D. CLINE ,  Kenny C. GROSS

IPC: G01H3/08 ,  H04R1/40 ,  H04R3/00 ,  G06F3/0484

CPC classification number: G01H3/08 ,  H04R1/406 ,  H04R3/005 ,  G06F3/0484 ,  G06F3/0482

Abstract: Systems, methods, and other embodiments associated with acoustic detection of disguised vehicles are described. In one embodiment of a method for acoustic detection of disguised vehicles, a first acoustic output of a target vehicle that appears to be of a first type is recorded. A second acoustic output of a reference vehicle that is known to be of the first type is retrieved. It is acoustically detected that the target vehicle is not of the first type based at least on an acoustic dissimilarity between the first acoustic output and the second acoustic output. An electronic alert is then generated that the target vehicle is of a second type that is disguised as the first type based on the acoustic dissimilarity.

公开(公告)号：US20230184582A1

公开(公告)日：2023-06-15

申请号：US18166442

申请日：2023-02-08

Applicant: TSUNAGARU DESIGN Inc.

Inventor： Gorouemon OTSUKA

IPC: G01H3/08 ,  H04R29/00 ,  G10K15/00

CPC classification number: G01H3/08 ,  H04R29/004 ,  G10K15/00 ,  H04R2430/03

Abstract: A sound leakage suppression apparatus for suppressing sound produced in a room from leaking outside thereof, includes a microphone, a display, and a processor configured to acquire information indicating sound insulation property of the room, based on the acquired information, determine a maximum volume level of sound that is permitted for each of a plurality of predetermined frequencies, control the microphone to collect sound produced in the room at a first time and determine a current volume level of the sound produced at the first time separately for each of the predetermined frequencies, and control the display to display both the maximum volume level and the current volume level for each of the predetermined frequencies.

公开(公告)号：US20170363675A1

公开(公告)日：2017-12-21

申请号：US15520257

申请日：2015-12-08

Applicant: Mitsubishi Electric Corporation

Inventor： Takahiro UMEMOTO ,  Soichiro KAINAGA ,  Manabu YOSHIMURA ,  Kazuaki AONO

IPC: G01R31/12

CPC classification number: G01R31/1209 ,  G01H3/08 ,  G01R31/12

Abstract: A partial discharge determination method and apparatus, and a partial discharge determination system capable of indicating how much margin is left before dielectric breakdown, in a lighting impulse withstand voltage test, and a power device for which whether partial discharge is caused is determined by them, and a method for manufacturing a power device including the partial discharge determination method. A low-pass filter receives an acoustic signal resulting from application of an impulse voltage and acquired by an acoustic emission sensor, and removes an electromagnetic noise superimposed on the acoustic signal. A mechanical oscillation removal unit removes a mechanical oscillation component of a device under test, from the acoustic signal resulting from application of the impulse voltage which is a high voltage, based on the mechanical oscillation component acquired in advance and included in the acoustic signal resulting from application of the impulse voltage which is a low voltage.

公开(公告)号：US20170315021A1

公开(公告)日：2017-11-02

申请号：US15520612

申请日：2015-10-15

Applicant: Safran Aircraft Engines

Inventor： Geoffroy Nicq ,  Valerio Gerez

IPC: G01M15/14 ,  G01H3/08 ,  G01H1/00

CPC classification number: G01M15/14 ,  G01H1/006 ,  G01H3/00 ,  G01H3/08 ,  G05B23/0235 ,  G05B2219/45071

Abstract: A method for monitoring an aircraft engine vane wheel (22), which includes: acquiring at least one time signal relative to moments when the vane wheel blades (23) pass in front of a sensor (21); determining a common flight phase of the aircraft; for each flight in a series of flights of the aircraft, correlating at least part of each time signal with a predetermined flight phase; and for each blade (23), each flight, and each predetermined flight phase, measuring the mean position (24C), the so-called “balance position”, of the top of the blade. The invention also relates to a device for implementing such a method. One advantage of the invention is providing a diagnosis of the blades using a small number of sensors and low computing power.

公开(公告)号：US20150330831A1

公开(公告)日：2015-11-19

申请号：US14712658

申请日：2015-05-14

Applicant: Texas Instruments Incorporated

Inventor： Amardeep Sathyanarayana ,  Nitish Murthy ,  Sourabh Ravindran ,  Brian Paul Burk

IPC: G01H13/00

CPC classification number: G01H3/08 ,  G01H1/00 ,  G01H13/00

Abstract: A method and apparatus for determining properties of at least one of a surface or materials adjacent to a portable device. The method includes windowing a segment of the received signal to remove an edge transients, computing the FFT power spectral density of the signal, determining a peak in the spectral energy at a frequency, finding local peaks by determining the difference in the signal amplitude is relation to a pre-determined threshold, and computing harmonic energy according to the local peaks and the difference and determining at least one property of the surface or material.

Abstract translation: 一种用于确定与便携式设备相邻的表面或材料中的至少一个的属性的方法和装置。 该方法包括：对接收到的信号进行加窗以去除边缘瞬变，计算信号的FFT功率谱密度，确定频谱中的频谱能量的峰值，通过确定信号幅度差异来找到局部峰值关系 根据局部峰值和差值计算谐波能量，并确定表面或材料的至少一个性质。

公开(公告)号：US20140200837A1

公开(公告)日：2014-07-17

申请号：US14153579

申请日：2014-01-13

Applicant: Virginia Tech Intellectual Properties, Inc. ,  Rolls-Royce Corporation

Inventor： Taylor Blair ,  Gary Pickrell ,  Michael Cybulsky ,  Raymond John Sinatra ,  Romesh Batra

IPC: G01F23/296

CPC classification number: G01H13/00 ,  B05B12/082 ,  B05B15/18 ,  G01H3/08 ,  G01H3/10 ,  G01N29/14 ,  G01N29/222 ,  G01N29/4454 ,  G01N29/46

Abstract: A characteristic of a component having an engineered internal space can be analyzed by recording acoustic signals produced by fluid flow through the internal space at controlled flow rates, and determining one or more acoustic frequencies and acoustic intensities that are indicative of the characteristic of the component. A state and/or a source of the component can be predicted based on the results of such analysis.

Abstract translation: 具有设计内部空间的部件的特征可以通过记录由流体流动通过内部空间以受控流速流动产生的声信号，并且确定表示部件特性的一个或多个声频和声强来分析。 可以基于这种分析的结果来预测组件的状态和/或源。

公开(公告)号：US20140114612A1

公开(公告)日：2014-04-24

申请号：US13657037

申请日：2012-10-22

Applicant: AUGURY SYSTEMS LTD.

Inventor： Saar Yoskovitz ,  Shaul Gal

IPC: G01N29/14 ,  G06F19/00

CPC classification number: G01N29/14 ,  G01H1/003 ,  G01H1/04 ,  G01H3/08 ,  G01H9/00 ,  G01M13/028 ,  G01M13/045 ,  G01N29/2481 ,  G01N29/46

Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

Abstract translation: 一种用于自动诊断一组共享机械特性的机械系统的机械系统的方法包括获得与振动有关的数据。 振动相关数据由被配置为与远程处理器进行通信的便携式通信设备获取。 处理器通过应用与获得的振动相关数据的关系来自动诊断机械系统。 该关系基于先前从机械系统获得的振动相关数据集合。 每组振动相关数据都涉及机械系统的振动。 该关系还基于先前为该组的机械系统获得的操作数据集。 每组操作数据表示机械系统的先前操作状态。 先前的操作状态中的每一个与先前获得的振动相关数据集中的至少一个相关联。

公开(公告)号：US20130275056A1

公开(公告)日：2013-10-17

申请号：US13990482

申请日：2011-12-02

Applicant: Klaus-Dieter Meck ,  Peter Derek Carlisle

Inventor： Klaus-Dieter Meck ,  Peter Derek Carlisle

IPC: G01N29/44

CPC classification number: G01N29/44 ,  F16D3/79 ,  F16D2300/18 ,  G01H3/08 ,  G01M13/028 ,  G01M13/045

Abstract: An apparatus for detecting fatigue induced failure of an assembly having a single flexible element or a series of flexible elements stacked in juxtaposed engagement, for transmitting power from one component to another, the assembly having a cyclic operating speed frequency includes at least one sensor mounted in proximity to said assembly, the sensor providing an analogue signal corresponding to an airborne acoustic signal emitted by the assembly, means for amplifying the analogue signal, filter means to reduce background noise from the analogue signal, an analogue to digital converter for converting the analogue signals to a digital signal, means for sampling the digital signals in respect of the operating speed frequency of the assembly and means for analysing the digital signals and providing an output upon the occurrence of one or more digital signal spikes in an operating cycle.

Abstract translation: 一种用于检测具有单个柔性元件或一系列以并置接合堆叠的一系列柔性元件的疲劳引起的故障的装置，用于将动力从一个部件传递到另一个部件，该组件具有循环操作速度频率，包括至少一个安装在 靠近所述组件，所述传感器提供对应于由组件发射的机载声信号的模拟信号，用于放大模拟信号的装置，用于减少来自模拟信号的背景噪声的滤波器装置，用于转换模拟信号的模数转换器 数字信号，用于对组件的操作速度频率对数字信号进行采样的装置，以及用于分析数字信号并在操作周期中发生一个或多个数字信号尖峰时提供输出的装置。

公开(公告)号：US20120219157A1

公开(公告)日：2012-08-30

申请号：US13427133

申请日：2012-03-22

Applicant: Rika HOSAKA ,  Kazushige OUCHI ,  Kazunori IMOTO ,  Masaaki KIKUCHI ,  Koichi OOTOMI

Inventor： Rika HOSAKA ,  Kazushige OUCHI ,  Kazunori IMOTO ,  Masaaki KIKUCHI ,  Koichi OOTOMI

IPC: H04R29/00

CPC classification number: G01H7/00 ,  G01H3/08

Abstract: According to one embodiment, a monitoring apparatus includes an acquisition unit, an analysis unit, a calculation unit, a storage, a determination unit. The acquisition unit acquires an environmental sound. The analysis unit performs frequency analysis to extract characteristic frequency components. The calculation unit calculates first values of metrics. The storage stores contour data generated by second values of the metrics. The determination unit determines whether or not there is a first measurement point in which a first value and a second value match, if there is no first measurement point or the change is not less than the threshold value, determines that the machines is abnormal.

Abstract translation: 根据一个实施例，监视装置包括获取单元，分析单元，计算单元，存储器，确定单元。 采集单元获取环境声音。 分析单元执行频率分析以提取特征频率分量。 计算单元计算度量的第一个值。 存储器存储由度量的第二值生成的轮廓数据。 确定单元确定是否存在第一和第二值匹配的第一测量点，如果不存在第一测量点或者改变不小于阈值，则确定机器是异常的。

公开(公告)号：US08164484B2

公开(公告)日：2012-04-24

申请号：US12245564

申请日：2008-10-03

Applicant: Theodore W. Berger ,  Alircza Dibazar ,  Bing Lu

Inventor： Theodore W. Berger ,  Alircza Dibazar ,  Bing Lu

IPC: G09G1/04

CPC classification number: G08G1/04 ,  G01H3/08 ,  G08G1/015 ,  G10L25/30 ,  G10L25/51

Abstract: A method and apparatus for identifying running vehicles in an area to be monitored using acoustic signature recognition. The apparatus includes an input sensor for capturing an acoustic waveform produced by a vehicle source, and a processing system. The waveform is digitized and divided into frames. Each frame is filtered into a plurality of gammatone filtered signals. At least one spectral feature vector is computed for each frame. The vectors are integrated across a plurality of frames to create a spectro-temporal representation of the vehicle waveform. In a training mode, values from the spectro-temporal representation are used as inputs to a Nonlinear Hebbian learning function to extract acoustic signatures and synaptic weights. In an active mode, the synaptic weights and acoustic signatures are used as patterns in a supervised associative network to identify whether a vehicle is present in the area to be monitored. In response to a vehicle being present, the class of vehicle is identified. Results may be provided to a central computer.

Abstract translation: 一种用于使用声学签名识别识别待监视区域中的行驶车辆的方法和装置。 该装置包括用于捕获由车辆源产生的声波形的输入传感器和处理系统。 波形被数字化并分成帧。 每个帧被过滤成多个经过Gammatone滤波的信号。 为每个帧计算至少一个光谱特征向量。 矢量被集成在多个帧之间以产生车辆波形的频谱表示。 在训练模式中，来自频谱表示的值被用作非线性Hebbian学习函数的输入，以提取声学签名和突触权重。 在主动模式中，突触权重和声学特征被用作监督关联网络中的模式，以识别车辆是否存在于要监视的区域中。 响应于存在的车辆，识别出车辆等级。 可以向中央计算机提供结果。