無人值守機艙自動化監(jiān)控.doc
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無人值守機艙自動化監(jiān)控,摘要船舶機艙是船舶動力的源泉，其正常運行對海洋運輸?shù)陌踩杂兄e足輕重的意義。而機艙自動化監(jiān)控和故障診斷技術(shù)又是船舶安全性的重要部分。本文以船舶柴油機作為研究對象，通過虛擬儀器、測試技術(shù)、模糊神經(jīng)網(wǎng)絡(luò)、蟻群算法等理論為基礎(chǔ)，深入的研究了機艙監(jiān)控的各模塊的設(shè)計、故障特征提取和診斷方法、以及蟻群算法所優(yōu)化模糊神經(jīng)網(wǎng)絡(luò)系統(tǒng)。...
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摘 要
船舶機艙是船舶動力的源泉，其正常運行對海洋運輸?shù)陌踩杂兄e足輕重的意義。而機艙自動化監(jiān)控和故障診斷技術(shù)又是船舶安全性的重要部分。本文以船舶柴油機作為研究對象，通過虛擬儀器、測試技術(shù)、模糊神經(jīng)網(wǎng)絡(luò)、蟻群算法等理論為基礎(chǔ)，深入的研究了機艙監(jiān)控的各模塊的設(shè)計、故障特征提取和診斷方法、以及蟻群算法所優(yōu)化模糊神經(jīng)網(wǎng)絡(luò)系統(tǒng)。
本文是基于LabView的船舶柴油機故障診斷的研究。針對傳統(tǒng)的開發(fā)軟件（VB,VC++,C語言等），開發(fā)機艙監(jiān)控系統(tǒng)開發(fā)周期長、運行速度慢、調(diào)試和維護困難，以及難以實現(xiàn)系統(tǒng)冗余等缺點，本文采用了虛擬儀器技術(shù)模塊化思想設(shè)計了機艙監(jiān)控及故障診斷系統(tǒng)。實現(xiàn)機艙各部件的信號采集、處理、集中顯示、報警控制。為實現(xiàn)船舶柴油機故障診斷奠定了基礎(chǔ)。
近年來，故障診斷技術(shù)飛速發(fā)展，在智能故障診斷中，往往不存在簡單的對應(yīng)關(guān)系，錯綜復(fù)雜。將模糊邏輯和人工神經(jīng)網(wǎng)絡(luò)相結(jié)合形成的模糊神經(jīng)網(wǎng)絡(luò)可以有效地利用模糊的信息，又有自學(xué)習(xí)的特點，能更好地勝任智能故障診斷。本文將最新的蟻群算法和模糊神經(jīng)網(wǎng)絡(luò)故障診斷相結(jié)合，對參數(shù)進行優(yōu)化訓(xùn)練，優(yōu)化網(wǎng)絡(luò)的權(quán)值和閾值，得到了更好地收斂效果和速度。避免了網(wǎng)絡(luò)訓(xùn)練限于局部極值和收斂速度慢的弊端，并且在MATLAB環(huán)境下進行了仿真，具有一定的可行性和可靠性。
關(guān)鍵詞 機艙監(jiān)控；LabView；蟻群算法；故障診斷；模糊神經(jīng)網(wǎng)絡(luò)
Abstract
Marine engine room is the fountainhead of the marine power plant. Its normal operation has the important significance to the ship transportation safety. The engine room automation monitoring and fault diagnosis technologies are primary parts of modern ship work safety.Focusing on diesel engines, this thesis attempts to do a study on modular designs of engine room monitoring, faults feature extraction, fault diagnosis method of diesel engines and Fuzzy Neutral Network optimization by applying principles of Ant Colony Algorithm, Virtual Instrument and test technology.
This paper aims to research the remote fault diagnosis to marine diesel engines using LabView. Moreover, applying modular thinking in Virtual Instrument technology, the thesis designs engine room monitoring and fault diagnosis technologies to overcome the shortcomings of traditional development environments (VB, VC++, C, etc), such as long development cycle, limited running speed and difficulties in debugging, maintaining and redundancy. The data acquisition, processing, central display and alarm-control are also realized, forming solid foundations for the diesel engine remote fault diagnosis.
In recent years, with the swift advance in breakdown diagnosis technology, instead of simple corresponding relationship, complex relationship often exists. Fuzzy Neutral Network (FNN), formed by combining fuzzy logic and artificial neutral network, could effectively apply fuzzy information. With special features of self study, FNN could better handle the task of fault diagnosis. This thesis combines the latest Ant Colony Algorithm and Fuzzy Neutral Network to achieve the optimization training of the parameters and the optimization of network weight and threshold values, leading to better convergence performance and speed. Avoiding shortcomings of local extremum and slow convergence in network training, at the same time, simulating in the environment of MATLAB, the paper demonstrates considerable feasibility and reliability.
Key words: Engine room monitoring, LabView, Ant Colony Algorithm, Breakdown diagnosis, Fuzzy Neutral Network
目 錄
摘 要 I
Abstract III
第1章 緒 論 1
1.1 引言 1
1.2 故障診斷技術(shù)的研究現(xiàn)狀與發(fā)展趨勢 1
1.3 蟻群算法的研究與發(fā)展 3
1.4 論文結(jié)構(gòu)安排和主要研究內(nèi)容 3
第2章 系統(tǒng)的開發(fā)環(huán)境——虛擬儀器 5
2.1 引言 5
2.2 虛擬儀器的概念 5
2.3 虛擬儀器的系統(tǒng)構(gòu)成 5
2.3.1 虛擬儀器的硬件構(gòu)成 6
2.3.1.1.GPIB系統(tǒng) 6
2.3.1.2數(shù)據(jù)采集系統(tǒng)DAQ 7
2.3.1.3 PXI系統(tǒng) 7
2.3.1.4 VXI系統(tǒng) 7
2.3.1.5 PC端口-LPT并行口式、USB口式和1394口式系統(tǒng) 7
2.3.2 虛擬儀器系統(tǒng)軟件構(gòu)成 8
2.4 虛擬儀器的優(yōu)勢與發(fā)展趨勢 9
2.4.1 虛擬儀器的特點與優(yōu)勢 9
2.4.2 虛擬儀器的發(fā)展趨勢 11
2.5 圖形化編程語言LabView 11
2.5.1 LabView概述 11
2.5.2 LabView組成與特點 11
2.5.3 LabView的優(yōu)勢 12
2.6 本章小結(jié) 13
第3章 船舶機艙監(jiān)控系統(tǒng)功能模塊設(shè)計 14
3.1 機艙監(jiān)控的設(shè)計思想與方案 14
3.1.1 系統(tǒng)設(shè)計思想 14
3.1.2 系統(tǒng)設(shè)計方案 15
3.2 系統(tǒng)硬件設(shè)計 17
3.3 系統(tǒng)軟件設(shè)計 20
3.3.1 軟件總體設(shè)計 20
3.3.2 軟件設(shè)計算法分析 21
3.3.3 軟件主程序流程 24
3.3.4 基于LabView的各功能模塊設(shè)計 25
3.3.4.1 數(shù)據(jù)采集程序設(shè)計 26
3.3.4.2 菜單設(shè)置程序設(shè)計 29
3.3.4.3 實時監(jiān)控程序設(shè)計 30
3.3.4.4 監(jiān)測波形程序設(shè)計 30
3.3.4.5 歷史數(shù)據(jù)波形 31
3.3.4.6 報警程序設(shè)計 32
3.3.4.7 參數(shù)配置程序設(shè)計 33
3.3.4.8 數(shù)據(jù)管理程序設(shè)計 34
3.4 本章小結(jié) 35
第4章 基于模糊神經(jīng)網(wǎng)絡(luò)的船舶柴油機故障診斷 36
4.1船舶柴油機故障診斷概述 36
4.1.1船舶柴油機的故障原因及性質(zhì) 36
4.1.2船舶柴油機故障主要模式 36
4.1.3船舶柴油機特征參量 37
4.2 模糊神經(jīng)網(wǎng)絡(luò) 38
4.2.1 模糊理論 38
4.2.1.1 模糊集合與隸屬度 38
4.2.1.2 模糊邏輯和模糊條件推理 40
4.2.2 神經(jīng)網(wǎng)絡(luò)的基本概念 41
4.2.3模糊神經(jīng)網(wǎng)絡(luò) 42
4.3 基于FNN 的船舶柴油機智能故障診斷 45
4.3..
船舶機艙是船舶動力的源泉，其正常運行對海洋運輸?shù)陌踩杂兄e足輕重的意義。而機艙自動化監(jiān)控和故障診斷技術(shù)又是船舶安全性的重要部分。本文以船舶柴油機作為研究對象，通過虛擬儀器、測試技術(shù)、模糊神經(jīng)網(wǎng)絡(luò)、蟻群算法等理論為基礎(chǔ)，深入的研究了機艙監(jiān)控的各模塊的設(shè)計、故障特征提取和診斷方法、以及蟻群算法所優(yōu)化模糊神經(jīng)網(wǎng)絡(luò)系統(tǒng)。
本文是基于LabView的船舶柴油機故障診斷的研究。針對傳統(tǒng)的開發(fā)軟件（VB,VC++,C語言等），開發(fā)機艙監(jiān)控系統(tǒng)開發(fā)周期長、運行速度慢、調(diào)試和維護困難，以及難以實現(xiàn)系統(tǒng)冗余等缺點，本文采用了虛擬儀器技術(shù)模塊化思想設(shè)計了機艙監(jiān)控及故障診斷系統(tǒng)。實現(xiàn)機艙各部件的信號采集、處理、集中顯示、報警控制。為實現(xiàn)船舶柴油機故障診斷奠定了基礎(chǔ)。
近年來，故障診斷技術(shù)飛速發(fā)展，在智能故障診斷中，往往不存在簡單的對應(yīng)關(guān)系，錯綜復(fù)雜。將模糊邏輯和人工神經(jīng)網(wǎng)絡(luò)相結(jié)合形成的模糊神經(jīng)網(wǎng)絡(luò)可以有效地利用模糊的信息，又有自學(xué)習(xí)的特點，能更好地勝任智能故障診斷。本文將最新的蟻群算法和模糊神經(jīng)網(wǎng)絡(luò)故障診斷相結(jié)合，對參數(shù)進行優(yōu)化訓(xùn)練，優(yōu)化網(wǎng)絡(luò)的權(quán)值和閾值，得到了更好地收斂效果和速度。避免了網(wǎng)絡(luò)訓(xùn)練限于局部極值和收斂速度慢的弊端，并且在MATLAB環(huán)境下進行了仿真，具有一定的可行性和可靠性。
關(guān)鍵詞 機艙監(jiān)控；LabView；蟻群算法；故障診斷；模糊神經(jīng)網(wǎng)絡(luò)
Abstract
Marine engine room is the fountainhead of the marine power plant. Its normal operation has the important significance to the ship transportation safety. The engine room automation monitoring and fault diagnosis technologies are primary parts of modern ship work safety.Focusing on diesel engines, this thesis attempts to do a study on modular designs of engine room monitoring, faults feature extraction, fault diagnosis method of diesel engines and Fuzzy Neutral Network optimization by applying principles of Ant Colony Algorithm, Virtual Instrument and test technology.
This paper aims to research the remote fault diagnosis to marine diesel engines using LabView. Moreover, applying modular thinking in Virtual Instrument technology, the thesis designs engine room monitoring and fault diagnosis technologies to overcome the shortcomings of traditional development environments (VB, VC++, C, etc), such as long development cycle, limited running speed and difficulties in debugging, maintaining and redundancy. The data acquisition, processing, central display and alarm-control are also realized, forming solid foundations for the diesel engine remote fault diagnosis.
In recent years, with the swift advance in breakdown diagnosis technology, instead of simple corresponding relationship, complex relationship often exists. Fuzzy Neutral Network (FNN), formed by combining fuzzy logic and artificial neutral network, could effectively apply fuzzy information. With special features of self study, FNN could better handle the task of fault diagnosis. This thesis combines the latest Ant Colony Algorithm and Fuzzy Neutral Network to achieve the optimization training of the parameters and the optimization of network weight and threshold values, leading to better convergence performance and speed. Avoiding shortcomings of local extremum and slow convergence in network training, at the same time, simulating in the environment of MATLAB, the paper demonstrates considerable feasibility and reliability.
Key words: Engine room monitoring, LabView, Ant Colony Algorithm, Breakdown diagnosis, Fuzzy Neutral Network
目 錄
摘 要 I
Abstract III
第1章 緒 論 1
1.1 引言 1
1.2 故障診斷技術(shù)的研究現(xiàn)狀與發(fā)展趨勢 1
1.3 蟻群算法的研究與發(fā)展 3
1.4 論文結(jié)構(gòu)安排和主要研究內(nèi)容 3
第2章 系統(tǒng)的開發(fā)環(huán)境——虛擬儀器 5
2.1 引言 5
2.2 虛擬儀器的概念 5
2.3 虛擬儀器的系統(tǒng)構(gòu)成 5
2.3.1 虛擬儀器的硬件構(gòu)成 6
2.3.1.1.GPIB系統(tǒng) 6
2.3.1.2數(shù)據(jù)采集系統(tǒng)DAQ 7
2.3.1.3 PXI系統(tǒng) 7
2.3.1.4 VXI系統(tǒng) 7
2.3.1.5 PC端口-LPT并行口式、USB口式和1394口式系統(tǒng) 7
2.3.2 虛擬儀器系統(tǒng)軟件構(gòu)成 8
2.4 虛擬儀器的優(yōu)勢與發(fā)展趨勢 9
2.4.1 虛擬儀器的特點與優(yōu)勢 9
2.4.2 虛擬儀器的發(fā)展趨勢 11
2.5 圖形化編程語言LabView 11
2.5.1 LabView概述 11
2.5.2 LabView組成與特點 11
2.5.3 LabView的優(yōu)勢 12
2.6 本章小結(jié) 13
第3章 船舶機艙監(jiān)控系統(tǒng)功能模塊設(shè)計 14
3.1 機艙監(jiān)控的設(shè)計思想與方案 14
3.1.1 系統(tǒng)設(shè)計思想 14
3.1.2 系統(tǒng)設(shè)計方案 15
3.2 系統(tǒng)硬件設(shè)計 17
3.3 系統(tǒng)軟件設(shè)計 20
3.3.1 軟件總體設(shè)計 20
3.3.2 軟件設(shè)計算法分析 21
3.3.3 軟件主程序流程 24
3.3.4 基于LabView的各功能模塊設(shè)計 25
3.3.4.1 數(shù)據(jù)采集程序設(shè)計 26
3.3.4.2 菜單設(shè)置程序設(shè)計 29
3.3.4.3 實時監(jiān)控程序設(shè)計 30
3.3.4.4 監(jiān)測波形程序設(shè)計 30
3.3.4.5 歷史數(shù)據(jù)波形 31
3.3.4.6 報警程序設(shè)計 32
3.3.4.7 參數(shù)配置程序設(shè)計 33
3.3.4.8 數(shù)據(jù)管理程序設(shè)計 34
3.4 本章小結(jié) 35
第4章 基于模糊神經(jīng)網(wǎng)絡(luò)的船舶柴油機故障診斷 36
4.1船舶柴油機故障診斷概述 36
4.1.1船舶柴油機的故障原因及性質(zhì) 36
4.1.2船舶柴油機故障主要模式 36
4.1.3船舶柴油機特征參量 37
4.2 模糊神經(jīng)網(wǎng)絡(luò) 38
4.2.1 模糊理論 38
4.2.1.1 模糊集合與隸屬度 38
4.2.1.2 模糊邏輯和模糊條件推理 40
4.2.2 神經(jīng)網(wǎng)絡(luò)的基本概念 41
4.2.3模糊神經(jīng)網(wǎng)絡(luò) 42
4.3 基于FNN 的船舶柴油機智能故障診斷 45
4.3..
