Fault tree and fuzzy neural network based automobile crane fault diagnosis method

A technology of fuzzy neural network and truck crane, applied in the direction of biological neural network model, special data processing application, instrument, etc., can solve the problems of poor economic benefit, laborious, time-consuming, etc., to avoid blindness and tediousness, strong Effects of fault tolerance, guaranteed validity, and accuracy

Active Publication Date: 2014-01-29
LISHUI UNIV
View PDF6 Cites 39 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The invention provides a fault diagnosis method for truck cranes based on fault tree and fuzzy neural network, which solves the tech

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fault tree and fuzzy neural network based automobile crane fault diagnosis method
  • Fault tree and fuzzy neural network based automobile crane fault diagnosis method
  • Fault tree and fuzzy neural network based automobile crane fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0035] Diagnose the fault of "lifting without action" of a certain truck crane

[0036] 1) Using the deductive method to establish a fault tree for a truck crane top event

[0037] figure 2 The working principle diagram of the hoisting circuit of a certain truck crane is shown. Its structure mainly includes that the variable variable pump 3 is connected with the fuel tank 1, an oil filter 2 is additionally arranged between the variable variable pump 3 and the fuel tank 1, and the variable variable pump 3 is connected with the rotary joint 4 , the rotary joint 4 communicates with the relief valve 5, the pressure reducing valve 6, the pressure reducing valve 9, and the reversing valve 11 respectively, and the proportional pressure reducing valve A7 and the proportional pressure reducing valve are connected in parallel between the pressure reducing valve 6 and the reversing valve 11 B8; the reversing valve 11 communicates with the hoist motor 13, and a balance valve 12 is addit...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a fault tree and fuzzy neural network based automobile crane fault diagnosis method. The method includes: (1) establishing a top event fault tree of an automobile crane by a deductive method; (2) determining the numbers of input and output nodes of a fuzzy neural network according to fault tree branches and experiential knowledge, and establishing a structural model of the fuzzy neural network; (3) extracting a training sample according to knowledge contained in each branch of the fault tree, training the neural network, and establishing a network weight and a threshold matrix needed for neural network reasoning and calculation; (4) monitoring data on a platform by the aid of an existing automobile crane state, and applying a 3sigma criteria method in a statistical parameter method for determining a fuzzy membership function needed for fuzzy preprocessing; (5) inputting measured data into the fuzzy neural network for calculation, and outputting a fault mode. By the method, blindness and complexity during detection are avoided, and accuracy rate of diagnosis is increased.

Description

technical field [0001] The invention belongs to the technical field of fault detection of automobile cranes, and relates to a fault diagnosis method for automobile cranes based on a fault tree and a fuzzy neural network. Background technique [0002] Truck crane is a kind of wheeled crane with hoisting machinery part installed on the general chassis of the car or special car chassis, which has the driving performance of the truck. It has good maneuverability, convenient transfer, and fast running speed. It is widely used in industrial and mining enterprises and construction sites. Various lifting operations such as cargo loading and unloading, transfer, equipment installation and high-altitude operations in stations, ports, etc. It plays a very important role in reducing labor intensity, saving manpower, reducing construction cost, improving construction quality, speeding up construction, and realizing engineering construction mechanization. However, the situation of safety...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00G06N3/02
Inventor 游张平方建平
Owner LISHUI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap