CN212082446U - Motor fault monitoring device based on neural network - Google Patents
Motor fault monitoring device based on neural network Download PDFInfo
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- CN212082446U CN212082446U CN202020528917.XU CN202020528917U CN212082446U CN 212082446 U CN212082446 U CN 212082446U CN 202020528917 U CN202020528917 U CN 202020528917U CN 212082446 U CN212082446 U CN 212082446U
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Abstract
The utility model belongs to the technical field of motor fault monitoring technique and specifically relates to a motor fault monitoring devices based on neural network, include and be connected first distance sensor, the second distance sensor who is used for detecting motor running state with neural network. The utility model discloses a motor fault monitoring device based on neural network is by distance sensor, the vibrations sensor, temperature sensor's fixed mounting mechanism constitutes, fixed mounting mechanism passes through the first arc mounting panel of the first arc connecting plate of overhead and the second arc mounting panel bolt fixed mounting of bottom second arc connecting plate, it is fixed not only to make things convenient for the motor installation through the arc connecting plate, and install the sensor fixedly through female thread wire assembly hole on arc connecting plate and the arc mounting panel, make things convenient for the sensor to monitor the multinomial data of motor, transmit monitoring data to neural network in real time through the external data line of connecting terminal, and is time-saving and labor-saving, fault monitoring is more timely accurate.
Description
Technical Field
The utility model belongs to the technical field of motor fault monitoring technique and specifically relates to a motor fault monitoring devices based on neural network.
Background
The neural network refers to a process of reasoning according to a logic rule; firstly, informationizing into concepts, representing the concepts by symbols, and then carrying out logical reasoning according to a serial mode according to symbolic operation; this process may be written as serial instructions for execution by a computer. The basic points of this thinking approach are as follows: 1. information is stored on the network by distribution of excitation patterns on neurons; 2. information processing is accomplished through a dynamic process of simultaneous interaction between neurons. Along with the development of network science and technology, more and more are based on the technique application of neural network goes to the industrial production in-process, use a large amount of motors in the industrial production at present, the operating efficiency direct relation of motor is to industrial production's security and stability, traditional motor fault's monitoring means carries out data measurement to the motor through the manual work in the outside, this kind of monitoring mode cycle is longer, wastes time and energy, measured data is influenced by external environment greatly moreover, it is not accurate enough, fault monitoring is not timely enough simultaneously.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the utility model is: in order to solve the problems in the prior art, an improved motor fault monitoring device based on a neural network is provided, which solves the problems in the prior art.
The utility model provides a technical scheme that its technical problem adopted is: a motor fault monitoring device based on a neural network comprises a first distance sensor, a second distance sensor, a vibration sensor, a temperature sensor and a fixed mounting mechanism which is connected with the neural network and used for detecting the running state of a motor, wherein the fixed mounting mechanism comprises a first arc-shaped mounting plate, a second arc-shaped mounting plate, a first arc-shaped connecting plate of an integrated structure fixed at the upper end of the first arc-shaped mounting plate and a second arc-shaped connecting plate of an integrated structure fixed at the lower end of the second arc-shaped mounting plate, a circular assembling groove used for mounting the temperature sensor and the vibration sensor and an arc-shaped outer assembling groove communicated with an opening at the outer side of the circular assembling groove are formed in the non-connecting plane of the first arc-shaped connecting plate and the second arc-shaped connecting plate, an arc-shaped external heat conducting copper bar is inserted in the arc-shaped assembling groove, and a first arc-shaped mounting plate, a second arc, The plurality of arc-shaped inside fitting grooves of the second distance sensor.
Furthermore, for matching and fixing installation, the outer side surfaces of the first arc-shaped connecting plate and the second arc-shaped connecting plate are positioned at the opening positions at the two ends of the arc-shaped outer side assembling groove and are provided with outer side assembling through holes with built-in side assembling bolts, and the two ends of the outer arc-shaped surface of the first arc-shaped mounting plate and the two ends of the outer arc-shaped surface of the second arc-shaped mounting plate are provided with an outer side assembling frame with an outward protruding integrated structure.
Furthermore, in order to connect the transmission line external protection pipe conveniently, the outer side surfaces of the first arc-shaped connecting plate and the second arc-shaped connecting plate are provided with first internal thread lead assembling holes communicated with the inner side of the arc-shaped assembling groove, and the outer side surfaces of the first arc-shaped connecting plate and the second arc-shaped connecting plate are provided with second internal thread lead assembling holes communicated with the inner side of the circular assembling groove.
Further, in order to improve the adjustable range, the arc-shaped inner assembling grooves on the arc-shaped surfaces of the inner sides of the first arc-shaped mounting plate and the second arc-shaped mounting plate are mutually spliced to form a spiral-structure inner mounting groove communicated with each other.
Further, dismantle with the regulation in order to make things convenient for the installation to be fixed, first distance sensor on the nearly first internal thread wire pilot hole lateral wall of second distance sensor and on the nearly second internal thread wire pilot hole lateral wall of shock transducer and temperature sensor all movable assembly have external screw thread assembly pipe, external screw thread assembly pipe outside top seted up and made things convenient for the rotatory top adjustment tank of control external screw thread assembly pipe.
Further, for cooperation movable assembly, first distance sensor all have outside bellied body structure connecting terminal on the nearly first internal thread wire pilot hole lateral wall of second distance sensor and on the nearly second internal thread wire pilot hole lateral wall of shock transducer and temperature sensor, the connecting terminal lateral surface on seted up annular assembly recess, the external screw thread assembly pipe insert through the body structure collar on the medial surface inside annular assembly recess and connecting terminal lateral surface movable assembly.
The utility model has the advantages that:
(1) the utility model discloses a motor fault monitoring device based on neural network comprises distance sensor, the vibrations sensor, temperature sensor's fixed mounting mechanism, fixed mounting mechanism is through the first arc mounting panel of overhead first arc connecting plate and the second arc mounting panel bolt fixed mounting of bottom second arc connecting plate, can not only make things convenient for the motor to install fixedly through the arc connecting plate, and fix the sensor through the female thread wire assembly hole on arc connecting plate and the arc mounting panel, make things convenient for the sensor to monitor the multinomial data of motor, transmit monitoring data to neural network in real time through connecting terminal external data line, save time and labor, fault monitoring is more timely accurate;
(2) the split type spiral structure inner mounting grooves are formed in the inner side arc surfaces of the first arc-shaped mounting plate and the second arc-shaped mounting plate, so that the mounting, dismounting and adjusting operation is facilitated, and meanwhile, the adjusting range is expanded;
(3) the fixed mounting mechanism not only can be used as a mounting carrier of the sensor, but also can be used as a mounting bracket of the motor, and the functionality is greatly improved.
Drawings
The present invention will be further explained with reference to the drawings and examples.
Fig. 1 is a schematic structural diagram of the present invention.
Fig. 2 is an internal cross-sectional view of the present invention.
In the drawing, 1, a first distance sensor, 2, a second distance sensor, 3, a vibration sensor, 4, a temperature sensor, 5, a first arc-shaped mounting plate, 6, a second arc-shaped mounting plate, 7, a first arc-shaped connecting plate, 8, a second arc-shaped connecting plate, 9, a circular assembling groove, 10, an arc-shaped outer assembling groove, 11, an arc-shaped external heat conduction copper bar, 12, an arc-shaped inner assembling groove, 13, a lateral assembling bolt, 14, an outer assembling frame, 15, a first internal thread lead assembling hole, 16, a second internal thread lead assembling hole, 17, an external thread assembling pipe and 18, connecting terminals are arranged.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic drawings and illustrate the basic structure of the present invention only in a schematic manner, and thus show only the components related to the present invention.
Fig. 1 and 2 show a motor fault monitoring device based on a neural network, which comprises a first distance sensor 1, a second distance sensor 2, a vibration sensor 3, a temperature sensor 4 and a fixed mounting mechanism which is connected with the neural network and used for detecting the running state of a motor, wherein the first distance sensor 3 is used for detecting the vibration frequency of a motor driving end, the temperature sensor 4 is used for monitoring the working temperature on the outer wall of the motor, the distance sensor is used for monitoring the eccentricity and the running stability of a motor rotating shaft, the fixed mounting mechanism comprises a first arc-shaped mounting plate 5, a second arc-shaped mounting plate 6, a first arc-shaped connecting plate 7 of an integrated structure fixed at the upper end of the first arc-shaped mounting plate 5 and a second arc-shaped connecting plate 8 of an integrated structure fixed at the lower end of the second arc-shaped mounting plate 6, and a non-connecting plane of the first arc-shaped connecting plate, The circular assembly groove 9 of the vibration sensor 3 and the arc-shaped outer side assembly groove 10 communicated with the opening on the outer side of the circular assembly groove 9 are connected, the arc-shaped outer side assembly groove 10 is internally inserted with an arc-shaped external heat conduction copper bar 11, and 5 arc-shaped inner side assembly grooves 12 used for installing the first and second distance sensors are arranged on the inner side arc-shaped surfaces of the first arc-shaped mounting plate 5 and the second arc-shaped mounting plate 6.
Further, for cooperation fixed mounting, the outer side assembly through holes of the built-in side assembly bolts 13 are formed in the opening positions of the two ends of the arc outer side assembly groove 10 on the outer side of the first arc connecting plate 7 and the outer side of the second arc connecting plate 8, and the outer side assembly frames 14 protruding outwards are arranged at the two ends of the outer side arc-shaped surface of the first arc mounting plate 5 and the outer side arc-shaped surface of the second arc mounting plate 6. The inside of the outer assembling frame 14 is fixedly connected and the assembling length is adjusted through a lateral bolt.
Further, for the convenience of connecting transmission line external protection pipe, set up first female thread wire pilot hole 15 that is linked together with the inboard assembly recess 12 of arc on first arc connecting plate 7 and the 8 lateral surfaces of second arc connecting plate, set up second female thread wire pilot hole 16 that is linked together with circular assembly groove 9 is inside on first arc connecting plate 7 and the 8 lateral surfaces of second arc connecting plate, furtherly, in order to promote adjustable range, the inboard assembly recess 12 of arc on the inboard arcwall face of first arc mounting panel 5 and second arc mounting panel splices each other and constitutes the inside mounting groove of helical structure that is linked together.
Furthermore, in order to facilitate installation, fixation, adjustment and disassembly, the first distance sensor 1 is movably assembled with an external thread assembling pipe 17 on the side wall of the second distance sensor 2 close to the first internal thread assembling hole 15 and on the side wall of the vibration sensor 3 and the temperature sensor 4 close to the second internal thread assembling hole 16, the top end of the outer side of the external thread assembling pipe 17 is provided with a top adjusting groove which is convenient for controlling the external thread assembling pipe 17 to rotate, a tool is used for inserting from the outside to control the external thread assembling pipe 17 to rotate, furthermore, in order to match with movable assembly, the first distance sensor 1 is provided with an integrated connecting terminal 18 which protrudes outwards on the side wall of the second distance sensor 2 close to the first internal thread assembling hole 15 and on the side wall of the vibration sensor 3 and the temperature sensor 4 close to the second internal thread assembling hole 16, and the outer side surface of the connecting terminal 18 is, the external thread assembling pipe 17 is inserted into the annular assembling groove through an integral structure mounting ring on the inner side surface and movably assembled with the outer side surface of the connecting terminal 18. The first distance sensor 1, the second distance sensor 2, the vibration sensor 3 and the temperature sensor 4 are communicated with the connection end of the neural network through data transmission lines on the connection terminals 18, and data are transmitted to the neural network in real time.
The utility model has the advantages that:
(1) the utility model discloses a motor fault monitoring device based on neural network comprises distance sensor, vibrations sensor 3, temperature sensor 4's fixed mounting mechanism, fixed mounting mechanism is through the first arc mounting panel 7 of overhead first arc connecting plate 5 and the second arc mounting panel 8 bolt fixed mounting of bottom second arc connecting plate 6, not only can make things convenient for the motor to install fixedly through the arc connecting plate, and install the sensor fixedly through the female thread wire assembly hole on arc connecting plate and the arc mounting panel, make things convenient for the sensor to monitor the multinomial data of motor, transmit monitoring data to neural network in real time through connecting terminal 18 external data line, save time and labor, fault monitoring is more timely accurate;
(2) the split type spiral structure inner mounting grooves are formed in the inner side arc surfaces of the first arc mounting plate 7 and the second arc mounting plate 8, so that the assembly, disassembly and adjustment operations are convenient, and the adjustment range is expanded;
(3) the fixed mounting mechanism not only can be used as a mounting carrier of the sensor, but also can be used as a mounting bracket of the motor, and the functionality is greatly improved.
In light of the foregoing, it will be apparent to those skilled in the art from this disclosure that various changes and modifications can be made without departing from the spirit and scope of the invention. The technical scope of the present invention is not limited to the content of the specification, and must be determined according to the scope of the claims.
Claims (6)
1. The utility model provides a motor fault monitoring devices based on neural network, includes first distance sensor (1), second distance sensor (2), vibrations sensor (3), temperature sensor (4) that are connected with neural network and are used for detecting motor running state and be used for convenient fixed mounting mechanism, characterized by: the fixed mounting mechanism comprises a first arc mounting plate (5), a second arc mounting plate (6), a first arc connecting plate (7) of an integrated structure fixed at the upper end of the first arc mounting plate (5) and a second arc connecting plate (8) of an integrated structure fixed at the lower end of the second arc mounting plate (6), wherein a circular assembling groove (9) for mounting a temperature sensor (4) and a vibration sensor (3) and an arc outer assembling groove (10) communicated with an outer opening of the circular assembling groove (9) are formed in a non-connecting plane of the first arc connecting plate (7) and the second arc connecting plate (8), an arc external heat-conducting copper strip (11) is inserted into the arc outer assembling groove (10), and a first arc mounting plate (5) and a second arc mounting plate (6) are provided on inner side arc surfaces for mounting the first arc mounting plate and the second arc mounting plate (6), A plurality of arc-shaped inside fitting grooves (12) of the second distance sensor.
2. The motor fault monitoring device based on the neural network as claimed in claim 1, wherein: first arc connecting plate (7) and second arc connecting plate (8) lateral surface be located arc outside assembly recess (10) both ends open position and offer the outside assembly through-hole of built-in side direction assembly bolt (13), first arc mounting panel (5) and second arc mounting panel (6) outside arcwall face both ends all have outside bellied integrative structure outside assembly frame (14).
3. The motor fault monitoring device based on the neural network as claimed in claim 1, wherein: first arc connecting plate (7) and second arc connecting plate (8) lateral surface on seted up first internal thread wire pilot hole (15) that are linked together with arc inboard assembly recess (12) inside, first arc connecting plate (7) and second arc connecting plate (8) lateral surface on seted up second internal thread wire pilot hole (16) that are linked together with circular assembly groove (9) inside.
4. The motor fault monitoring device based on the neural network as claimed in claim 1, wherein: the arc-shaped inner side assembly grooves (12) on the arc-shaped surfaces on the inner sides of the first arc-shaped mounting plate (5) and the second arc-shaped mounting plate (6) are mutually spliced to form a helical structure inner mounting groove communicated with each other.
5. The motor fault monitoring device based on the neural network as claimed in claim 1, wherein: first distance sensor (1) on the nearly first internal thread wire pilot hole (15) lateral wall of second distance sensor (2) and on vibrations sensor (3) and the nearly second internal thread wire pilot hole (16) lateral wall of temperature sensor (4) all the activity be equipped with external screw thread assembly pipe (17), external screw thread assembly pipe (17) outside top seted up and conveniently controlled the rotatory top adjustment tank of external screw thread assembly pipe (17).
6. The neural network-based motor fault monitoring device of claim 5, wherein: first distance sensor (1) all have outside bellied body structure connecting terminal (18) on second distance sensor (2) nearly first internal thread wire pilot hole (15) lateral wall and shock transducer (3) and temperature sensor (4) nearly second internal thread wire pilot hole (16) lateral wall, connecting terminal (18) lateral surface on seted up annular assembly recess, external screw thread assembly pipe (17) insert inside annular assembly recess and connecting terminal (18) lateral surface activity assembly through the body structure collar on the medial surface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020528917.XU CN212082446U (en) | 2020-04-10 | 2020-04-10 | Motor fault monitoring device based on neural network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020528917.XU CN212082446U (en) | 2020-04-10 | 2020-04-10 | Motor fault monitoring device based on neural network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN212082446U true CN212082446U (en) | 2020-12-04 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202020528917.XU Active CN212082446U (en) | 2020-04-10 | 2020-04-10 | Motor fault monitoring device based on neural network |
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|---|---|
| CN (1) | CN212082446U (en) |
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- 2020-04-10 CN CN202020528917.XU patent/CN212082446U/en active Active
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