WO2018219265A1 - 轴承的检测装置和方法 - Google Patents

轴承的检测装置和方法 Download PDF

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Publication number
WO2018219265A1
WO2018219265A1 PCT/CN2018/088814 CN2018088814W WO2018219265A1 WO 2018219265 A1 WO2018219265 A1 WO 2018219265A1 CN 2018088814 W CN2018088814 W CN 2018088814W WO 2018219265 A1 WO2018219265 A1 WO 2018219265A1
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bearing
sensor
embedded
microvibration
processor
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PCT/CN2018/088814
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English (en)
French (fr)
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聂泳忠
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西人马（厦门）科技有限公司
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Priority to JP2019518200A priority Critical patent/JP6888083B2/ja
Publication of WO2018219265A1 publication Critical patent/WO2018219265A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/04—Bearings
    • G01M13/045—Acoustic or vibration analysis

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  • the present application relates to the field of bearing technology, in particular to a bearing detection device and method.
  • Bearings are currently a common part of contemporary machinery. In order to avoid sudden failure of the bearing during operation, it is often necessary to monitor the early failure signal of the bearing.
  • a sensor in order to monitor the above-mentioned early failure signals, a sensor is usually mounted on the bearing housing.
  • the manner in which the bearing is separated from the sensor will prolong the decay time of the early failure signal of the bearing, and the early failure signal of the bearing
  • the extension of the decay time can easily lead to the early failure signal of the bearing being masked by the noise, so that the sensor can not effectively collect the early fault signal of the bearing, so that the early failure of the bearing cannot be early warning.
  • Embodiments of the present invention provide a bearing fault detecting device and method, which can effectively collect an early fault signal of a bearing, thereby making an early warning of an early failure of the bearing.
  • the same component of the bearing comprises an outer ring of the bearing, a cage or an inner ring.
  • the microvibration sensor comprises a piezoelectric sensor, an impedance head sensor, and/or a resistance strain sensor.
  • the microvibration sensor is packaged in a structure of a ceramic package.
  • the device further includes: an energy radiation antenna disposed at a position close to the bearing; an electromagnetic resonance antenna embedded in the component where the micro vibration sensor is located, and the electromagnetic resonance antenna respectively The microvibration sensor is connected to the processor.
  • the energy radiating antenna is disposed on the bearing housing.
  • the device further includes an AC-DC converter embedded in the component where the micro vibration sensor is located, the AC-DC converter and the electromagnetic resonance antenna, the micro vibration sensor, and the processing Connected.
  • the device further includes a voltage regulator embedded in the component where the micro vibration sensor is located, and the voltage regulator is respectively connected to the AC-DC converter, the micro vibration sensor, and the processor. .
  • the apparatus further includes a band pass filter embedded in the component in which the microvibration sensor is located, the band pass filter being respectively coupled to the microvibration sensor and the processor.
  • the device further includes a temperature sensor embedded in the component in which the microvibration sensor is located, the temperature sensor being coupled to the transmit antenna.
  • an embodiment of the present invention provides a method for detecting a bearing, the method comprising:
  • the acceleration signal of the bearing is detected by a micro vibration sensor embedded in the bearing;
  • the characteristic frequency of the bearing is matched with the frequency of the fault characteristic of the known bearing to obtain the fault information of the bearing.
  • performing Fourier transform on the acceleration signal to obtain a characteristic spectrum of the bearing including: filtering the acceleration signal; performing Fourier transform on the filtered acceleration signal to obtain a bearing characteristic Spectrum.
  • the method further includes: embedding the micro vibration sensor The temperature sensor in the component detects the temperature signal of the bearing; the fault information of the bearing is analyzed according to the temperature signal.
  • the embodiment of the present invention integrates the microvibration sensor and the processor into the same component of the bearing, and the processor is coupled to the microvibration sensor. Since the micro-vibration sensor is embedded in the bearing, the decay time of the early failure signal of the bearing is shortened, so that the early failure signal of the bearing can be effectively collected, and the processor can accurately judge according to the effective early failure signal collected by the micro-vibration sensor. Early failure of the bearing, and early warning of the bearing failure.
  • FIG. 1 is a schematic structural view of a bearing detecting device according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural view of a bearing detecting device according to another embodiment of the present invention.
  • FIG. 3 is a schematic diagram showing the circuit connection of a bearing detecting device according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of signal connection of a bearing detecting device according to an embodiment of the present invention.
  • FIG. 5 is a schematic flow chart of a method for detecting a bearing according to an embodiment of the present invention.
  • FIG. 6 is a schematic flow chart of a method for detecting a bearing according to another embodiment of the present invention.
  • the method and device for bearing detection provided by the embodiments of the present invention are applied to the field of fault monitoring of bearings. It can make the sensor touch the bearing to the maximum extent and avoid the attenuation of the bearing fault signal during the transmission.
  • the method and device for bearing detection provided by the embodiments of the present invention can perform health state detection on a bearing that is launched by an aircraft.
  • FIG. 1 is a schematic structural view of a bearing detecting device according to an embodiment of the present invention.
  • the detecting device of the embodiment of the present invention includes a micro-vibration sensor 1 and a processor 2 respectively embedded in the same component of the bearing, and the processor 2 is connected to the micro-vibration sensor 1; the detecting device further includes a transmitting antenna 6 and the receiving antenna 7, the transmitting antenna 6 is embedded in the component in which the micro-vibration sensor 1 is located, and the receiving antenna 7 is disposed outside the bearing.
  • the micro-vibration sensor 1 may be a MEMS (Micro-electromechanical Systems) vibration sensor.
  • the MEMS vibration sensor is a single-chip high-precision vibration sensor that can accurately detect bearing vibration and unconventional conditions with a vibration frequency of up to 22kHZ.
  • MEMS vibration sensors have the characteristics of small size and easy to be fixed, and can be packaged in the structure of ceramic packaging.
  • the MEMS vibration sensor can be packaged in a small size (eg 5 mm x 5 mm) ceramic package and then embedded together into the mechanical part to be inspected.
  • the micro-vibration sensor 1 works by taking the original mechanical quantity to be measured as the input amount of the micro-vibration sensor 1, and then receiving it by the mechanical receiving portion to form another mechanical quantity suitable for the transformation, and finally by the electromechanical conversion part. Convert the mechanical quantity to electricity.
  • the micro-vibration sensor 1 that can be employed in the embodiment of the present invention includes a piezoelectric sensor, an impedance head sensor, and/or a resistance strain sensor according to a form of electric quantity conversion of the mechanical quantity to the mechanical quantity.
  • the micro-vibration sensor 1 is embedded in the bearing member.
  • a mounting groove matching the shape of the micro-vibration sensor 1 may be provided in the bearing member, the micro-vibration sensor 1 may be mounted in the opened groove, and the micro-vibration sensor 1 may be fixed by gluing. .
  • the micro-sensor in the mounting groove is also packaged.
  • the processor 2 can also be embedded in the bearing component by the above method.
  • the micro-vibration sensor 1 and the processor 2 may be integrated, and the integrated component may be integrally embedded in the bearing component, or may be embedded in the bearing respectively. In the part, the connection is made by wires.
  • both the microvibration sensor 1 and the processor 2 are embedded in the same part of the bearing, and the processor 2 is connected to the microvibration sensor 1. Since the micro-vibration sensor 1 is embedded in the bearing, the decay time of the early failure signal of the bearing is shortened, so that the early failure signal of the bearing can be effectively collected, and the processor 2 can obtain an effective early failure signal according to the micro-vibration sensor 1. , accurately determine the early failure of the bearing, and then make early warning of the failure of the bearing.
  • the same component of the above bearing comprises the outer ring 3 of the bearing, the cage 4 or the inner ring 5. That is, the microvibration sensor 1 and the processor 2 can be embedded in any of the outer ring 3 of the bearing, the cage 4, and the inner ring 5, depending on the actual situation.
  • the detecting device of the embodiment of the present invention can be used for detecting a ball bearing, and can also be used for detecting a sliding bearing.
  • the detecting device of the embodiment of the present invention is used for detecting a sliding bearing, it is only necessary to mount the micro-vibration sensor 1 and the processor 2 to the corresponding members of the sliding bearing.
  • the detecting device of the embodiment of the present invention can also be used to detect other mechanical parts other than the bearing, and is not limited herein.
  • the detecting apparatus of the embodiment of the present invention further includes: an energy radiating antenna 9 disposed at a position close to the bearing; an electromagnetic resonance antenna 8 embedded in a component where the microvibration sensor 1 is located, and the electromagnetic resonance antenna 8 respectively It is connected to the micro vibration sensor 1 and the processor 2.
  • the energy radiating antenna 9 can be disposed on the bearing housing 10.
  • the energy radiating antenna 9 is connected to an external power source, and the resonant frequency of the electromagnetic resonance antenna 8 coincides with the center frequency of the energy radiating antenna 9, so that the energy transmitted by the energy radiating antenna 9 can be received at a close distance.
  • the energy radiating antenna 9 The center frequency is 1-3 GHz.
  • the detecting device further includes an AC-DC AC-DC converter 11 embedded in a component in which the micro-vibration sensor 1 is located, the AC-DC converter and the electromagnetic resonance antenna 8, the micro-vibration sensor 1, and the processor, respectively. 2 connections.
  • the detecting device further includes a voltage regulator 12 embedded in a component in which the microvibration sensor 1 is located, and the voltage regulator 12 and the AC-DC converter respectively The micro-vibration sensor 1 and the processor 2 are connected.
  • the detecting device further includes a band pass filter 13 embedded in the component in which the microvibration sensor 1 is located, and the band pass filter 13 is connected to the microvibration sensor 1 and the processor 2, respectively, for microvibration
  • the vibration signal of the bearing detected by the sensor 1 is filtered to improve the signal quality.
  • the detecting device further includes a temperature sensor (not shown) embedded in the component in which the microvibration sensor 1 is located, the temperature sensor and the transmitting antenna 6 connection.
  • Fig. 5 is a flow chart showing a method of detecting a bearing according to an embodiment of the present invention. As shown in FIG. 5, the bearing detection method includes steps 501 to 503.
  • step 501 the acceleration signal of the bearing is detected by the microvibration sensor 1 embedded in the bearing.
  • the microvibration sensor 1 is embedded in the outer ring 3 of the bearing, the cage 4 or the inner ring 5.
  • the microvibration sensor 1 includes a piezoelectric sensor, an impedance head sensor, and/or a resistance strain sensor.
  • step 502 the acceleration signal is Fourier transformed to obtain a characteristic spectrum of the bearing.
  • step 503 the characteristic frequency of the bearing is matched with the known fault characteristic frequency of the bearing to obtain fault information of the bearing, that is, which component of the bearing is faulty.
  • the fault characteristic frequency of the known bearing includes the inner ring 5 fault characteristic frequency f i , the outer ring 3 fault characteristic frequency f o , the ball fault characteristic frequency f b , the fault characteristic frequency f ci of the retainer 4 hitting the inner ring 5 and 4 touch the inner holder 5 fault characteristic frequency f co. among them:
  • Ball fault characteristic frequency f b the expression is:
  • the fault characteristic frequency of the cage 4 hitting the inner ring 5 is f ci , and the expression is:
  • the fault characteristic frequency of the cage 4 hitting the outer ring 5 is f co , and the expression is:
  • FIG. 6 is a schematic flow chart of a method for detecting a bearing according to another embodiment of the present invention. 6 is different from FIG. 5 in that step 502 in FIG. 5 can be refined to step 5021 and step 5022 in FIG. 6; the steps in FIG. 6 further include step 504 and step 505.
  • step 5021 the acceleration signal is subjected to filtering processing.
  • the interference signal in the acceleration signal of the bearing can be removed to improve the signal quality.
  • step 5022 the filtered acceleration signal is Fourier transformed to obtain a characteristic spectrum of the bearing.
  • step 504 the temperature signal of the bearing is detected by a temperature sensor embedded in the component in which the microvibration sensor 1 is located.
  • step 505 the fault information of the bearing is analyzed based on the temperature signal.

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  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Rolling Contact Bearings (AREA)

Abstract

一种轴承的检测装置和方法。该检测装置包括分别嵌设于轴承的同一部件中的微振动传感器和处理器，所述处理器与所述微振动传感器连接；该检测装置还包括发射天线和接收天线，所述发射天线嵌设于所述微振动传感器所在的部件中，所述接收天线设置于所述轴承外。该检测方法包括：通过嵌设于轴承中的微振动传感器检测轴承的加速度信号；对所述加速度信号进行傅立叶转换，得到所述轴承的特征频谱；将所述轴承的特征频率与已知的轴承的故障特征频率进行匹配，得到所述轴承的故障信息。该检测方法能够使传感器尽量接近轴承设置，从而减少轴承故障信号的衰减。

Description

轴承的检测装置和方法
本申请要求于2017年05月31日提交中国专利局、申请号为2017104021458、申请名称为“轴承的检测装置和方法”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及轴承技术领域，尤其涉及一种轴承的检测装置和方法.
背景技术
目前，轴承是当代机械设备中一种常见的零件。为了避免轴承在运行过程中突然失效，通常需要监测轴承的早期失效信号。
现有技术中，为监测上述早期失效信号，通常是在轴承座上安装传感器，这种轴承与传感器分离设置的方式，将使得轴承的早期失效信号的衰减时间延长，而由于轴承的早期失效信号为微弱信号，衰减时间的延长很容易导致轴承的早期失效信号被噪声掩盖，使得传感器无法有效地采集到轴承的早期故障信号，从而无法对轴承的早期故障做出预警。
发明内容
本发明实施例提供了一种轴承故障检测装置和方法，能够有效地采集到轴承的早期故障信号，从而可以对轴承的早期故障做出预警。
第一方面，本发明实施例提供了一种轴承的检测装置，包括分别嵌设于轴承的同一部件中的微振动传感器和处理器，处理器与微振动传感器连接；检测装置还包括发射天线和接收天线，发射天线嵌设于微振动传感器所在的部件中，接收天线设置于所述轴承外。
在第一方面的一种可能的实施方式中，轴承的同一部件包括轴承的外圈、保持架或内圈。
在第一方面的一种可能的实施方式中，微振动传感器包括压电式传感器、阻抗头传感器和/或电阻应变式传感器。
在第一方面的一种可能的实施方式中，微振动传感器封装于陶瓷包装的结构中。
在第一方面的一种可能的实施方式中，该装置还包括：设置于靠近轴承的位置处的能量辐射天线；嵌设于微振动传感器所在的部件中的电磁共振天线，电磁共振天线分别与微振动传感器和处理器连接。
在第一方面的一种可能的实施方式中，能量辐射天线设置于轴承座上。
在第一方面的一种可能的实施方式中，该装置还包括嵌设于微振动传感器所在的部件中的AC-DC转换器，AC-DC转换器分别与电磁共振天线、微振动传感器和处理器连接。
在第一方面的一种可能的实施方式中，该装置还包括嵌设于微振动传感器所在的部件中的稳压器，稳压器分别与AC-DC转换器、微振动传感器和处理器连接。
在第一方面的一种可能的实施方式中，该装置还包括嵌设于微振动传感器所在的部件中的带通滤波器，带通滤波器分别与微振动传感器和处理器连接。
在第一方面的一种可能的实施方式中，该装置还包括嵌设于微振动传感器所在的部件中的温度传感器，温度传感器与发射天线连接。
第二方面，本发明实施例提供一种轴承的检测方法，该方法包括：
通过嵌设于轴承中的微振动传感器检测轴承的加速度信号；
对加速度信号进行傅立叶转换，得到轴承的特征频谱；
将轴承的特征频率与已知的轴承的故障特征频率进行匹配，得到轴承的故障信息。
在第二方面的一种可能的实施方式中，对加速度信号进行傅立叶转换，得到轴承的特征频谱，包括：对加速度信号进行滤波处理；对滤波处理后的加速度信号进行傅立叶转换，得到轴承的特征频谱。
在第二方面的一种可能的实施方式中，在将轴承的特征频率与已知的轴承的故障特征频率进行匹配，得到轴承的故障信息之后，该方法还包括：通过嵌设于微振动传感器所在的部件中的温度传感器检测轴承的温度信号；根据温度信号对轴承的故障信息进行分析。
如上所述，本发明实施例将微振动传感器和处理器均嵌入轴承的同一部件中，处理器与微振动传感器连接。由于微振动传感器被嵌入轴承中，使得轴承的早期失效信号的衰减时间缩短，从而可以有效地采集到轴承的早期失效信号，处理器就可以根据微振动传感器采集的有效的早期失效信号，准确判断出轴承的早期故障，进而对轴承作出早期故障预警。
附图说明
图1为本发明一个实施例的轴承的检测装置的结构示意图；
图2为本发明另一实施例的轴承的检测装置的结构示意图；
图3为本发明一个实施例的轴承的检测装置的电路连接示意图；
图4为本发明一个实施例的轴承的检测装置的信号连接示意图；
图5为本发明一个实施例的轴承的检测方法的流程示意图；
图6为本发明另一实施例的轴承的检测方法的流程示意图。
附图标记说明：
1-微振动传感器；      2-处理器；           3-外圈；
4-保持架；            5-内圈；             6-发射天线；
7-接收天线；          8-电磁共振天线；     9-能量辐射天线；
10-轴承座。
具体实施方式
本发明实施例提供的轴承检测的方法与装置，应用于轴承的故障监测领域。能够 使传感器最大限度的接触轴承，避免轴承的故障信号在传递过程中的衰减。本发明实施例提供的轴承检测的方法与装置可以对飞机发动的轴承进行健康状态检测。
图1为本发明实施例提供的轴承的检测装置的结构示意图。如图1所示，本发明实施例的检测装置，包括分别嵌设于轴承的同一部件中的微振动传感器1和处理器2，处理器2与微振动传感器1连接；检测装置还包括发射天线6和接收天线7，发射天线6嵌设于微振动传感器1所在的部件中，接收天线7设置于所述轴承外。
其中，微振动传感器1可以是MEMS(Micro-electromechanical Systems，微机电系统)振动传感器。MEMS振动传感器是一种单芯片高精度的振动传感器，能够十分精确的检测轴承振动和非常规情况，振动频率可达22kHZ。MEMS振动传感器具有的尺寸较小和容易固定的特点，能够封装于陶瓷包装的结构中。比如，可以将MEMS振动传感器封装在一个小尺寸(比如5mm×5mm)的陶瓷包装中，然后一起嵌入待检测的机械部件中。
微振动传感器1的工作原理为：将原始要测的机械量做为微振动传感器1的输入量，然后由机械接收部分加以接收，形成另一个适合于变换的机械量，最后由机电变换部分再将机械量变换为电量。根据机电变换部分对机械量的电量转换形式，本发明实施例中可以采用的微振动传感器1包括压电式传感器、阻抗头传感器和/或电阻应变式传感器。
需要说明的是，上述将微振动传感器1嵌设入轴承部件中的方式可以有多种。在一个例子中，可以在轴承部件中开设与微振动传感器1的形状相匹配的安装槽，将微振动传感器1安装到所开设的槽中，并通过胶粘的方式对微振动传感器1进行固定。通常，为了防止微振动传感器1被轴承中的油渍污染，从而对轴承的故障信号造成干扰，还对安装槽中的微传感器进行封装。类似地，也可以通过上述方法将处理器2嵌设入轴承部件中。
可以理解的是，关于微振动传感器1和处理器2的安装方式，可以是对微振动传感器1和处理器2进行集成，将集成后的组件整体嵌入轴承部件中的，也可以是分别嵌入轴承部件中，通过导线进行连接。
由于轴承是旋转体，为将微振动传感器1和处理器2的信号传送出去，本发明实施例的检测装置还包括发射天线6和接收天线7；其中，发射天线6嵌设于微振动传感器1所在的部件中，接收天线7设置于轴承外。其中，发射天线6被封装在小尺寸的柔性电路板中，可以参照上文中的微振动传感器1的安装方式将柔性电路板嵌入微振动传感器1所在的部件中。
在本发明的实施例中，将微振动传感器1和处理器2均嵌入轴承的同一部件中，处理器2与微振动传感器1连接。由于微振动传感器1被嵌入轴承中，使得轴承的早期失效信号的衰减时间缩短，从而可以有效地采集到轴承的早期失效信号，处理器2就可以根据微振动传感器1采集的有效的早期失效信号，准确判断出轴承的早期故障，进而对轴承作出早期故障预警。
为方便微振动传感器1和处理器2嵌入轴承的安装，参看图1，上述轴承的同一部件包括轴承的外圈3、保持架4或内圈5。也就是说，可以根据实际情况，将微振动传感器1和处理器2嵌入轴承的外圈3、保持架4和内圈5的任一部件中。
需要说明的是，本发明实施例的检测装置，可以用于检测滚珠轴承，也可以用于检测滑动轴承。当本发明实施例的检测装置用于检测滑动轴承时，只需要将微振动传感器1和处理器2安装到滑动轴承的对应部件中即可。当然，本发明实施例的检测装置也可以用于检测除轴承外的其他机械零件，此处不进行限制。
为了解决在轴承旋转中微振动传感器1和处理器2的供电问题。参看图2，本发明实施例的检测装置，还包括：设置于靠近轴承的位置处的能量辐射天线9；嵌设于微振动传感器1所在的部件中的电磁共振天线8，电磁共振天线8分别与微振动传感器1和处理器2连接。优选地，能量辐射天线9可以设置于轴承座10上。
其中，能量辐射天线9与外部电源连接，电磁共振天线8的谐振频率与能量辐射天线9的中心频率一致，从而可以近距离接收能量辐射天线9传递的能量，在一个例子中，能量辐射天线9的中心频率为1-3GHz。
由于上述电磁共振电线可以将能量辐射天线9传递的电量转化为交流电信号，而驱动微振动传感器1和处理器2需要直流电信号。因此，参看图3，检测装置还包括嵌设于微振动传感器1所在的部件中的交直流AC-DC转换器11，AC-DC转换器分别与电磁共振天线8、微振动传感器1和处理器2连接。
进一步地，为向微振动传感器1和处理器2提供稳定的工作电压，检测装置还包括嵌设于微振动传感器1所在的部件中的稳压器12，稳压器12分别与AC-DC转换器11、微振动传感器1和处理器2连接。
此外，参看图4，检测装置还包括嵌设于微振动传感器1所在的部件中的带通滤波器13，带通滤波器13分别与微振动传感器1和处理器2连接，用于对微振动传感器1检测的轴承的振动信号进行滤波处理，提高信号质量。
进一步地，在得到轴承的故障信息之后，为分析造成故障的原因，检测装置还包括嵌设于微振动传感器1所在的部件中的温度传感器(图中未示出)，温度传感器与发射天线6连接。
图5为本发明一个实施例的轴承的检测方法的流程示意图。如图5所示，轴承的检测方法包括步骤501-步骤503。
在步骤501中，通过嵌设于轴承中的微振动传感器1检测轴承的加速度信号。
其中，微振动传感器1嵌设于轴承的外圈3、保持架4或内圈5中。微振动传感器1包括压电式传感器、阻抗头传感器和/或电阻应变式传感器。
在步骤502中，对加速度信号进行傅立叶转换，得到轴承的特征频谱。
在步骤503中，将轴承的特征频率与已知的轴承的故障特征频率进行匹配，得到轴承的故障信息，即判断出轴承的哪个部件出现故障。
其中，已知的轴承的故障特征频率包括内圈5故障特征频率f i、外圈3故障特征频率f o、滚珠故障特征频率f b、保持架4碰内圈5的故障特征频率f ci和保持架4碰内圈5的故障特征频率f co。其中：
内圈5故障特征频率f i的表达式为：
Figure PCTCN2018088814-appb-000001
外圈3故障特征频率f o，表达式为：
Figure PCTCN2018088814-appb-000002
滚珠故障特征频率f b，表达式为：
Figure PCTCN2018088814-appb-000003
保持架4碰内圈5的故障特征频率为f ci，表达式为：
Figure PCTCN2018088814-appb-000004
保持架4碰外圈5的故障特征频率为f co，表达式为：
Figure PCTCN2018088814-appb-000005
在上述表达式中，D为轴承的节圆直径，d为滚珠直径，α为接触角，z为滚珠数，R为轴的转速。
图6为本发明另一实施例的轴承的检测方法的流程示意图。图6与图5的不同之处在于，图5中的步骤502可细化为图6中的步骤5021和步骤5022；图6中的步骤还包括步骤504和步骤505。
在步骤5021中，对加速度信号进行滤波处理。可以去除轴承的加速度信号中的干扰信号，提高信号质量。
在步骤5022中，对滤波处理后的加速度信号进行傅立叶转换，得到轴承的特征频谱。
在步骤504中，通过嵌设于微振动传感器1所在的部件中的温度传感器检测轴承的温度信号。
在步骤505中，根据温度信号对轴承的故障信息进行分析。
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以所述权利要求的保护范围为准。

Claims (13)

  1. 一种轴承的检测装置，其特征在于，包括分别嵌设于轴承的同一部件中的微振动传感器和处理器，所述处理器与所述微振动传感器连接；
    所述检测装置还包括发射天线和接收天线，所述发射天线嵌设于所述微振动传感器所在的部件中，所述接收天线设置于所述轴承外。
  2. 根据权利要求1所述的装置，其特征在于，所述轴承的同一部件包括所述轴承的外圈、保持架或内圈。
  3. 根据权利要求1所述的装置，其特征在于，所述微振动传感器包括压电式传感器、阻抗头传感器和/或电阻应变式传感器。
  4. 根据权利要求1所述的装置，其特征在于，所述微振动传感器封装于陶瓷包装的结构中。
  5. 根据权利要求1所述的装置，其特征在于，所述装置还包括：
    设置于靠近所述轴承的位置处的能量辐射天线；
    嵌设于所述微振动传感器所在的部件中的电磁共振天线，所述电磁共振天线分别与所述微振动传感器和所述处理器连接。
  6. 根据权利要求5所述的装置，其特征在于，所述能量辐射天线设置于轴承座上。
  7. 根据权利要求6所述的装置，其特征在于，所述装置还包括嵌设于所述微振动传感器所在的部件中的交直流AC-DC转换器，所述AC-DC转换器分别与所述电磁共振天线、所述微振动传感器和所述处理器连接。
  8. 根据权利要求7所述的装置，其特征在于，所述装置还包括嵌设于所述微振动传感器所在的部件中的稳压器，所述稳压器分别与所述AC-DC转换器、所述微振动传感器和所述处理器连接。
  9. 根据权利要求1所述的装置，其特征在于，所述装置还包括嵌设于所述微振动传感器所在的部件中的带通滤波器，所述带通滤波器分别与所述微振动传感器和所述处理器连接。
  10. 根据权利要求1所述的装置，其特征在于，所述装置还包括嵌设于所述微振动传感器所在的部件中的温度传感器，所述温度传感器与所述发射天线连接。
  11. 一种轴承的检测方法，其特征在于，包括：
    通过嵌设于轴承中的微振动传感器检测轴承的加速度信号；
    对所述加速度信号进行傅立叶转换，得到所述轴承的特征频谱；
    将所述轴承的特征频率与已知的轴承的故障特征频率进行匹配，得到所述轴承的故障信息。
  12. 根据权利要求11所述的方法，其特征在于，所述对所述加速度信号进行傅立叶转换，得到所述轴承的特征频谱，包括：
    对所述加速度信号进行滤波处理；
    对滤波处理后的加速度信号进行傅立叶转换，得到所述轴承的特征频谱。
  13. 根据权利要求11所述的方法，其特征在于，在所述将所述轴承的特征频率与已知的轴承的故障特征频率进行匹配，得到所述轴承的故障信息之后，所述方法还包括：
    通过嵌设于所述微振动传感器所在的部件中的温度传感器检测轴承的温度信号；
    根据所述温度信号对所述轴承的故障信息进行分析。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113295417A (zh) * 2021-05-21 2021-08-24 中国人民解放军国防科技大学 一种轴承故障特征频率计算方法及装置

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107192555A (zh) * 2017-05-31 2017-09-22 西人马（厦门）科技有限公司 轴承的检测装置和方法
CN109883701A (zh) * 2017-12-04 2019-06-14 斯凯孚公司 自测试电路和检查信号通过信号路径的完整性的方法
CN108871778B (zh) * 2018-08-06 2023-09-19 浙江优特轴承有限公司 用于数据可输出的轴承座的检测机构
WO2020215256A1 (zh) * 2019-04-24 2020-10-29 舍弗勒技术股份两合公司 带传感器的轴承组件和轴承游隙监测系统
CN110307258B (zh) * 2019-07-11 2020-08-04 淄博恒星轴承有限公司 一种具有测温感控功能的智能轴承及其制备方法
CN111623983B (zh) * 2020-05-12 2021-06-04 清华大学 一种滚动轴承换能装置及其应用
CN112525532A (zh) * 2020-11-05 2021-03-19 江苏大学 一种基于光纤光栅的三排滚柱式转盘轴承健康监测装置
CN112486063B (zh) * 2020-11-23 2021-12-28 中电科技集团重庆声光电有限公司 一种面向高端轴承的内嵌式多维智能采集处理微系统
CN114876958B (zh) * 2022-05-09 2023-07-21 青岛理工大学 一种全包裹式滚动轴承保持架装置

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1230245A (zh) * 1996-09-13 1999-09-29 迪姆肯公司 带有传感器组件的轴承
US6259372B1 (en) * 1999-01-22 2001-07-10 Eaton Corporation Self-powered wireless transducer
CN1405543A (zh) * 2001-09-11 2003-03-26 日本精工株式会社 带检测器的滚动轴承单元
CN1412564A (zh) * 2001-10-18 2003-04-23 日本精工株式会社 转速传感器装置
CN1424212A (zh) * 2001-12-14 2003-06-18 Ntn株式会社 车辆用轴承装置
CN1437709A (zh) * 2000-06-23 2003-08-20 迪姆肯公司 具有无线的自供电传感器单元的轴承
CN104634570A (zh) * 2015-01-21 2015-05-20 山西潞安环保能源开发股份有限公司 基于振动检测的便携式轴承故障诊断装置及诊断方法
CN105041885A (zh) * 2015-07-04 2015-11-11 河南科技大学 带有健康状况监测的智能型盾构机主轴承
CN105938468A (zh) * 2016-06-07 2016-09-14 北京交通大学 一种滚动轴承的故障诊断方法
CN106769039A (zh) * 2016-12-13 2017-05-31 西安交通大学 一种适用于滚动轴承旋转部件监测的安装组件
CN107192555A (zh) * 2017-05-31 2017-09-22 西人马（厦门）科技有限公司 轴承的检测装置和方法

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003269447A (ja) * 2002-03-15 2003-09-25 Nsk Ltd センサ付軸受装置及びセンサ付軸受装置の異常検知方法
JP2005024441A (ja) * 2003-07-04 2005-01-27 Ntn Corp Ｉｃタグ・センサ付き軸受の異常検査システム
JP4321171B2 (ja) * 2003-07-23 2009-08-26 日本精工株式会社 鉄道車両用センサ付軸受装置
JP2005301645A (ja) * 2004-04-12 2005-10-27 Ntn Corp ワイヤレスセンサシステムおよびワイヤレスセンサ付軸受装置
JP4710455B2 (ja) * 2005-07-15 2011-06-29 日本精工株式会社 鉄道車両の車軸支持装置の異常診断装置
JP2017003555A (ja) * 2015-06-10 2017-01-05 日本精工株式会社 センサユニット、センサ付き軸受及び異常診断システム

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1230245A (zh) * 1996-09-13 1999-09-29 迪姆肯公司 带有传感器组件的轴承
US6259372B1 (en) * 1999-01-22 2001-07-10 Eaton Corporation Self-powered wireless transducer
CN1437709A (zh) * 2000-06-23 2003-08-20 迪姆肯公司 具有无线的自供电传感器单元的轴承
CN1405543A (zh) * 2001-09-11 2003-03-26 日本精工株式会社 带检测器的滚动轴承单元
CN1412564A (zh) * 2001-10-18 2003-04-23 日本精工株式会社 转速传感器装置
CN1424212A (zh) * 2001-12-14 2003-06-18 Ntn株式会社 车辆用轴承装置
CN104634570A (zh) * 2015-01-21 2015-05-20 山西潞安环保能源开发股份有限公司 基于振动检测的便携式轴承故障诊断装置及诊断方法
CN105041885A (zh) * 2015-07-04 2015-11-11 河南科技大学 带有健康状况监测的智能型盾构机主轴承
CN105938468A (zh) * 2016-06-07 2016-09-14 北京交通大学 一种滚动轴承的故障诊断方法
CN106769039A (zh) * 2016-12-13 2017-05-31 西安交通大学 一种适用于滚动轴承旋转部件监测的安装组件
CN107192555A (zh) * 2017-05-31 2017-09-22 西人马（厦门）科技有限公司 轴承的检测装置和方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113295417A (zh) * 2021-05-21 2021-08-24 中国人民解放军国防科技大学 一种轴承故障特征频率计算方法及装置

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