Research of Multi-Input Predictive Fault Diagnosis Control System on Combine Harvester

2014 ◽  
Vol 971-973 ◽  
pp. 1296-1299
Author(s):  
Li Xia Gong ◽  
Jin Chen ◽  
Chang Mou Tang ◽  
Li Kou ◽  
Yi Long Wei
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Computational Complexity ◽  
Prediction Method ◽  
Stepper Motor ◽  
Sensor Signal ◽  
Display Module ◽  
Combine Harvester ◽  
Fault Diagnosis System ◽  
Diagnosis Algorithm

In order to diagnosis the fault in a a comprehensive, real-time and simple way, a multi-input predictive fault diagnosis system was promoted based on acceleration mainly include the sensor, Signal processing,display and stepper motors.Sensor was used to acquisition the inputs such as grain loss, clogging and engine vibration.Then,the inputs was processed by the fault diagnosis algorithm promoted in this thesis to obtain diagnostic results and display the rusults in button display module. When a fault occured, stepper motor would start to work controled by a control signal to minimized the failure harm.Furtherly,the effectiveness was improved by an example. The experimental results show that the prediction method can achieve the predictive fault diagnosis and effectively simplify the computational complexity with good practicality and reality.

Diagnostic Fault Simulation for the Failure Analyst

2004 ◽  
Author(s):  
Dan Bodoh ◽  
Anthony Blakely ◽  
Terry Garyet
Keyword(s):  
Fault Diagnosis ◽  
Failure Analysis ◽  
Complete Solution ◽  
Fault Simulation ◽  
Building Blocks ◽  
Physical World ◽  
Design For Test ◽  
Fault Diagnosis System ◽  
Diagnosis Algorithm ◽  
Diagnosis Tool

Abstract Since failure analysis (FA) tools originated in the design-for-test (DFT) realm, most have abstractions that reflect a designer's viewpoint. These abstractions prevent easy application of diagnosis results in the physical world of the FA lab. This article presents a fault diagnosis system, DFS/FA, which bridges the DFT and FA worlds. First, it describes the motivation for building DFS/FA and how it is an improvement over off-the-shelf tools and explains the DFS/FA building blocks on which the diagnosis tool depends. The article then discusses the diagnosis algorithm in detail and provides an overview of some of the supporting tools that make DFS/FA a complete solution for FA. It also presents a FA example where DFS/FA has been applied. The example demonstrates how the consideration of physical proximity improves the accuracy without sacrificing precision.

scholarly journals Stability Evaluation of Fault Diagnosis Model Based on Elliptic Fourier Descriptor

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
YanZhu Hu ◽  
Yu Hu ◽  
XinBo Ai ◽  
HuiYang Zhao ◽  
Zhen Meng ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Stability Evaluation ◽  
Fourier Descriptor ◽  
Model Based ◽  
Image Edge ◽  
Fault Diagnosis System ◽  
Diagnosis Algorithm ◽  
Diagnosis Model ◽  
Edge Detection Method ◽  
The Stability

The performance evaluation of fault diagnosis algorithm is an indispensable link in the development and acceptance of the fault diagnosis system. Aiming at the stability evaluation of the fault diagnosis model based on the characteristic clustering, an image edge detection method based on the Elliptic Fourier Descriptor (EFDSE) is proposed to evaluate the stability of the fault diagnosis model, which applies similarity measurement of image to effective evaluation of faulty diagnosis algorithm. The quantitative evaluation index of the diagnostic capability of characterization based cluster fault diagnosis model is used to provide reference for the acceptance and reliability of the diagnosis results. Finally, the effectiveness of the stability evaluation is verified by the fault data of the motor bearings.

The Remote Monitoring Management and Fault Diagnosis System of the Distributed Open Numerical Control System

2013 ◽  
Vol 589-590 ◽  
pp. 746-751
Author(s):  
Cong Guo Ma ◽  
Jian Guo Wang ◽  
Ya Zhou Li
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Remote Monitoring ◽  
Numerical Control ◽  
Numerical Control System ◽  
Cnc System ◽  
Diagnosis System ◽  
Fault Diagnosis System ◽  
Open Cnc System ◽  
Control Layer

This paper presents the design scheme of monitoring management and fault diagnosis of open CNC system based on Internet, the system hardware structure introduces network technology three-tier monitoring mode based on field control layer and process monitoring control layer and remote fault diagnosis layer, the system software design includes CNC system management and monitoring and fault diagnosis. The paper integrates condition monitoring and fault diagnosis and expert system technology into CNC system monitoring and management, and analyzes the requirements of distributed numerical control system, and details description system model of remote monitoring and fault diagnosis system. The practice has proved that the system design of open remote monitoring and fault diagnosis is practicality and feasibility.

Application of ANN in Hydraulic Pressure Control Fault Diagnosis System

2013 ◽  
Vol 347-350 ◽  
pp. 864-868
Author(s):  
Xiao Yu Zhang ◽  
Li Li Ding
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fault Diagnosis ◽  
Pressure Control ◽  
Fault Isolation ◽  
Hydraulic Pressure ◽  
Diagnosis System ◽  
Pressure Control System ◽  
Fault Diagnosis System ◽  
Artificial Neural Network Ann

The existing hydraulic pressure control fault diagnosis system is effective on fault detection, but the fault isolation capability is bad. In order to improve the capability of the fault isolation, the artificial neural network (ANN) is used in the fault diagnosis system. Aimed at the representative diagnosis of the hydraulic pressure control system, the three layers feedback network is adopted, the basic theory of conjugate gradient BP neural network is explained in detail, and the key techniques are introduced. Five types of typical faults of hydraulic pressure control system can be distinguished easily by it, the faults diagnosis efficiency is higher 30% than ever and the fault diagnosis capability is better 80% than before.

Circuit Fault Diagnosis Interface Software Design

2011 ◽  
Vol 71-78 ◽  
pp. 651-654
Author(s):  
Tong Shun Fan ◽  
Yu Ping Wang ◽  
Li Ming Luo
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Software Design ◽  
Digital Circuit ◽  
Research Project ◽  
Diagnosis System ◽  
Interface Circuit ◽  
Fault Diagnosis System ◽  
Circuit Fault Diagnosis ◽  
And Control

On the basis of research on digital circuit fault diagnosis system for missile launch and control system – one research project recently completed by the author ,and through analysis for the first and foremost problem of interface circuit, this paper makes a detailed description of digital circuit fault diagnosis interface circuit software design based on LabWindows/CVI, and gives major steps of the development for interface circuit software.

Design of Fault Diagnosis System for the Parameter-Depended Control System

2011 ◽  
Vol 320 ◽  
pp. 636-641
Author(s):  
Jing Zhou
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Fault Isolation ◽  
Linear Matrix ◽  
Diagnosis System ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Fault Diagnosis System

A robust parameter-depended reduced order(RPRO) fault detection filter(FDF) is designed. Contrary to the parameter-depended uncertainty system, the order of the linear matrix inequalities is reduced, then the RPRO fault detection and fault isolated filters are constructed. Then a RPRO fault isolation filter is designed for occurrence of both actuator fault and sensor fault in the aerocraft’s closed-loop control system, and fault diagnosis system is structured based on the fault isolation filters. Through the output of the fault diagnosis system, we can alarm the fault timely and the advantages of this approach are highlighted.

Application of the Dither Technology in a Fault Detection System

2013 ◽  
Vol 281 ◽  
pp. 71-74
Author(s):  
Na Chen ◽  
Shao Pu Yang ◽  
Cun Zhi Pan
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Sensor Signal ◽  
Signal To Noise ◽  
Sampling System ◽  
System A ◽  
Fault Diagnosis System ◽  
Direct Guidance

In a fault detection system A/D conversion is a necessary step, in which quantization issues are unavoidable. Problems about quantization effects can be solved properly by using the dither technique. Firstly quantization problems of A/D conversion in a fault diagnosis system are discussed. Then the principle of dithering technique is introduced from the view of probability statistics. In further more, it is tested that fault signals whose amplitude is less than the quantization interval can be extracted, and that coherent harmonic interference in quantizing process can also be eliminated. Finally the result shows that by using dither technique the system can gain an enhanced level of fault detection with a faint signal-to-noise ratio loss, which has a direct guidance on engineering design in sensor-signal-sampling system.

Self-Repairing Control System for a Hybrid Underwater Vehicle

2013 ◽  
Vol 834-836 ◽  
pp. 1256-1262 ◽  
Author(s):  
Biao Wang ◽  
Chao Wu ◽  
Tong Ge
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Autonomous Underwater Vehicle ◽  
Control Strategies ◽  
Underwater Vehicle ◽  
Reconfigurable Control ◽  
Sea Floor ◽  
Surface Ship ◽  
Area Survey ◽  
Fault Diagnosis System

A novel remotely operated underwater vehicle-a hybrid remotely operated underwater vehicle (HROV) capable of working to the full ocean depth has been developed. The battery powered vehicle operates in two modes. For broad-area survey, the vehicle can operate as an autonomous underwater vehicle (AUV) capable of mapping the sea floor with sonars and cameras. For close up imaging and sampling, the vehicle can operate as a remotely operated underwater vehicle (ROV) employing a optic fiber tether for real-time telemetry of data and video to its operators on a surface ship. In order for the vehicle to achieve a certain survivability and reliability level, a self-repairing control system (SRCS) has been designed. This paper presents the two basic technologies in SRCS: fault diagnosis and isolation (FDI) and reconfigurable control. For FDI, a model-based hierarchical fault diagnosis system is designed for the HROV. Then, control strategies which reconfigure the control system at intervals according to information from the FDI system are presented. Combining the two technologies, we obtained the fundamental frame of SRCS for the HROV.

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