Fault Identification System for Motor Cycle Using Malfunction Indicator Lamp LED Blinking Frequency Detection on Mobile Device

Gas turbine fault identification has been used worldwide in many aero and land engines. Model based techniques have improved isolation of faults in components and stages’ fault trend monitoring. In this paper a powerful nonlinear fault identification system is developed in order to predict the location and trend of faults in two major components: compressor and turbine. For this purpose Siemens V94.2 gas turbine engine is modeled one dimensionally. The compressor is simulated using stage stacking technique, while a stage by stage blade cooling model has been used in simulation of the turbine. New fault model has been used for turbine, in which a degradation distribution has been considered for turbine stages’ performance. In order to validate the identification system with a real case, a combined fault model (a combination of existing faults models) for compressor is used. Also the first stage of the turbine is degraded alone while keeping the other stages healthy. The target was to identify the faulty stages not faulty components. The imposed faults are one of the most common faults in a gas turbine engine and the problem is one of the most difficult cases. Results show that the fault diagnostic system could isolate faults between compressor and turbine. It also predicts the location of faulty stages of each component. The most interesting result is that the fault is predicted only in the first stage (faulty stage) of the turbine while other stages are identified as healthy. Also combined fault of compressor is well identified. However, the magnitude of degradation could not be well predicted but, using more detailed models as well as better data from gas turbine exhaust temperature, will enhance diagnostic results.

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Data Reception Analysis of the AIS on board the TianTuo-3 Satellite

Journal of Navigation ◽

10.1017/s0373463316000916 ◽

2017 ◽

Vol 70 (4) ◽

pp. 761-774 ◽

Cited By ~ 9

Author(s):

Shiyou Li ◽

Xiaoqian Chen ◽

Lihu Chen ◽

Yong Zhao ◽

Tao Sheng ◽

...

Keyword(s):

Detailed Analysis ◽

Real Time ◽

Long Range ◽

Automatic Identification ◽

Identification System ◽

Detection Ability ◽

Class A ◽

Frequency Detection ◽

Real Time Tracking ◽

New Generation

The Automatic Identification System (AIS) receiver on board the main satellite of the TianTuo-3 constellation, LvLiang-1, is a new generation of AIS receiver. Having partly solved the signal conflict problems and with larger coverage over the ground, the AIS receiver on board TianTuo-3 greatly improves the signal detection ability. The data received by the AIS receiver during the TianTuo-3 debugging stage is employed for detailed analysis in this paper. Results include: TianTuo-3 implements four-frequency detection at the same time, and a time-flag is inserted into the received AIS data, a small portion of Class A vessels (at least 1480) have been equipped with AIS sending the long range AIS broadcast message with two new frequency channels and the hourly averaged count of the message received by TianTuo-3’s AIS is between 1500 ~ 2500. This AIS receiver is capable of real-time tracking a single vessel. In conclusion, the TianTuo-3 space-based AIS receiver is capable of continuously receiving AIS messages sent by global maritime vessels.

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Wavelet-Based SNR Analysis in Building Satellite Terminal Fault Identification System

2008 IEEE International Conference on Communications ◽

10.1109/icc.2008.372 ◽

2008 ◽

Author(s):

L. Xu ◽

C. Huang

Keyword(s):

Fault Identification ◽

Identification System

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Development of Fault Identification System for Electric Servo Actuators of Multilink Manipulators Using Logic-Dynamic Approach

Journal of Control Science and Engineering ◽

10.1155/2017/8168627 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8 ◽

Cited By ~ 3

Author(s):

V. Filaretov ◽

A. Zuev ◽

A. Zhirabok ◽

A. Protsenko

Keyword(s):

Fault Detection ◽

Nonlinear Equations ◽

Fault Detection And Isolation ◽

Fault Identification ◽

Identification System ◽

Dynamic Approach ◽

Residual Signal

This paper presents the method of synthesis of faults identification systems for electric servo actuators of multilink manipulators. These actuators are described by nonlinear equations with significantly changing coefficients. The proposed method is based on logic-dynamic approach for design of diagnostic observers for fault detection and isolation. An advantage of this approach is that it allows studying systems with nonsmooth nonlinearities by linear methods only. For solving the task of faults identification, a residual signal feedback was proposed to be used for observers. The efficiency of the proposed fault identification system was confirmed by results of simulation.

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