Equipment health analysis and fault diagnosis system based on artificial intelligence

A technology of artificial intelligence and fault diagnosis, which is applied in the testing of machines/structural components, instruments, casings/cabinets/drawer components, etc., can solve problems such as instrument falling off, hand fatigue, and increased use costs, and achieve The effect of reducing negative impacts, reducing corporate losses, and increasing friction

Pending Publication Date: 2022-08-05
李嘉航
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing fault diagnosis instrument is designed to be hand-held for the convenience of use, but after holding the hand-held fault diagnosis instrument for too long, there will be more sweat on the hand, which makes the instrument fall off from the hand; Made of plastic, it can only support and protect the internal components, and has no protective effect on itself. When it falls, it may cause the display screen to break, which will directly affect the use of the fault diagnosis instrument and increase the cost of use; and the long-term grip Holding will cause hand fatigue

Method used

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  • Equipment health analysis and fault diagnosis system based on artificial intelligence
  • Equipment health analysis and fault diagnosis system based on artificial intelligence
  • Equipment health analysis and fault diagnosis system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] refer tofigure 1 , figure 2 , image 3 , Figure 4 and Figure 5 , a system for device health analysis and fault diagnosis based on artificial intelligence, including a device body 1, a diagnostic system is set in the device body 1, a display screen 101 and buttons 102 are respectively set on the upper and lower sides of the device body 1, and the side of the device body 1 A first airbag 2 is arranged at the corner, a first elastic element 3 is arranged on the device body 1, and one end of the first elastic element 3 away from the device body 1 is connected with a clamping plate 4, and an anti-fitting mechanism is arranged in the clamping plate 4 , a second air bag 5 is arranged on the clamping plate 4, an exhaust mechanism is arranged between the first air bag 2 and the second air bag 5, a guide groove 6 is opened in the main body 1 of the device, and the guide groove 6 is movably connected to block the display. For the rollable baffle 601 of the screen 101 , a win...

Embodiment 2

[0042] refer to figure 1 , figure 2 , image 3 , Figure 5 , Figure 8 and Figure 9 , the system for equipment health analysis and fault diagnosis based on artificial intelligence is the same as in Embodiment 1, and further, the winding assembly includes a rotating shaft 7 that is rotatably connected in the equipment main body 1 through a bearing, and the rotating shaft 7 is connected to the rollable stopper. One end of the sheet 601 is fixedly connected, the rotating shaft 7 passes through the equipment main body 1 and is connected with the moving gear 701 , and the equipment main body 1 is slidably connected with a rack plate 702 engaged with the moving gear 701 , and the rack plate 702 is connected with the clamping plate 4 . In a fixed connection, a limit frame 703 is fixed on the device main body 1 , and the rack plate 702 is slidably connected in the limit frame 703 .

[0043] Specifically, when the device is in use, the first elastic element 3 is stretched by sep...

Embodiment 3

[0046] refer to figure 1 and Figure 10 , the system of equipment health analysis and fault diagnosis based on artificial intelligence is the same as that of Embodiment 1, and further, the exhaust mechanism includes a working pipe 8 fixed on the equipment main body 1, and the intake end of the working pipe 8 is connected with a The air guide tube 801, the end of the air guide tube 801 away from the working tube 8 is communicated with the first air bag 2, the inner wall of the working tube 8 is slidably connected with a piston block 802, a moving rod 803 is fixed on the piston block 802, and the moving rod 803 is far away from the piston block 802 One end of the first gas pipe 804 passes through the working pipe 8 and is fixedly connected with the clamping plate 4 .

[0047] Specifically, when the device is in use, by separating the clamping plate 4 and the equipment main body 1, the hand is placed between the clamping plate 4 and the equipment main body 1, and the staff holds...

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Abstract

The invention discloses an equipment health analysis and fault diagnosis system based on artificial intelligence, and belongs to the technical field of fault diagnosis. An equipment health analysis and fault diagnosis system based on artificial intelligence comprises an equipment main body, a diagnosis system is arranged in the equipment main body, a display screen and keys are arranged on the upper side and the lower side of the equipment main body respectively, a first air bag is arranged at the corner of the equipment main body, and a first elastic element is arranged on the equipment main body; a clamping plate is connected to the end, away from the equipment body, of the first elastic element, an anti-attaching mechanism is arranged in the clamping plate, a second air bag is arranged on the clamping plate, an exhaust mechanism is arranged between the first air bag and the second air bag, a guide groove is formed in the equipment body, and a curlable blocking piece used for shielding a display screen is movably connected into the guide groove; the fault diagnosis instrument can be effectively protected, the fault diagnosis instrument can be prevented from falling off from the hand when the fault diagnosis instrument is held by a hand for use, and the use comfort and practicability of the instrument are improved.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis, in particular to a system for equipment health analysis and fault diagnosis based on artificial intelligence. Background technique [0002] With the continuous development and progress of industrial information technology, electromechanical equipment is becoming more and more sophisticated, complex and intelligent, which not only brings convenience to human production and life, but also brings equipment failure prediction and health management. new challenge. How to monitor the health status of the equipment in real time during the operation and maintenance of the equipment, and find the cause of the fault quickly and accurately is the key to the safe and stable operation of the equipment. Now the equipment is generally detected and analyzed by the fault diagnosis instrument. [0003] As the name suggests, a fault diagnosis instrument refers to an instrument that can make timely judgment...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H05K5/02G01M99/00
CPCH05K5/0217H05K5/0017G01M99/00
Inventor 李嘉航
Owner 李嘉航
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