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Fault Diagnosis Method of Truck Crane Based on Fault Tree and Fuzzy Neural Network

A technology of fuzzy neural network and truck crane, applied in biological neural network models, special data processing applications, instruments, etc., can solve problems such as poor economic benefits, time-consuming, low efficiency, etc., to avoid blindness and tediousness, Guaranteed effectiveness and accuracy, strong fault tolerance effect

Active Publication Date: 2018-07-10
LISHUI UNIV
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  • 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 technical problems of time-consuming, laborious, inefficient and poor economic benefits in the fault diagnosis of truck cranes in the prior art

Method used

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  • Fault Diagnosis Method of Truck Crane Based on Fault Tree and Fuzzy Neural Network
  • Fault Diagnosis Method of Truck Crane Based on Fault Tree and Fuzzy Neural Network
  • Fault Diagnosis Method of Truck Crane Based on Fault Tree and Fuzzy Neural Network

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...

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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 whose lifting machinery part is installed on the general chassis of the car or special car chassis, and has the driving performance of the truck. It has good mobility, 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 opera...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/02
Inventor 游张平方建平
Owner LISHUI UNIV
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