【摘要】：遠(yuǎn)程故障診斷系統(tǒng)是通過GPRS無線技術(shù)將現(xiàn)場車載終端和遠(yuǎn)程技術(shù)診斷中心聯(lián)系起來,實(shí)現(xiàn)即時(shí)反應(yīng)、資源共享、遠(yuǎn)程監(jiān)測以及遠(yuǎn)程診斷的一個(gè)系統(tǒng),它既有傳統(tǒng)故障診斷服務(wù)方式的優(yōu)點(diǎn),又克服了時(shí)間、地域的局限。 工程機(jī)械各部件受所處的環(huán)境、溫度、水蒸氣、粉塵和振動的影響很大,液壓系統(tǒng)作為工程機(jī)械的核心,結(jié)構(gòu)比較復(fù)雜,若出現(xiàn)故障,將會直接影響其工作效率,甚至出現(xiàn)重大的事故。對液壓系統(tǒng)進(jìn)行遠(yuǎn)程故障實(shí)時(shí)的檢測與診斷,能夠縮短工程機(jī)械的停機(jī)時(shí)間,提高經(jīng)濟(jì)效益。 本文以某重型機(jī)械公司HB48混凝土泵車主液壓系統(tǒng)為研究對象,采用ATmega16單片機(jī)為主控制核心,BenQ M22A GPRS模塊為傳輸單元,設(shè)計(jì)了一種遠(yuǎn)程數(shù)據(jù)采集終端;在分析了液壓系統(tǒng)故障常見的故障模式及機(jī)理以及神經(jīng)網(wǎng)絡(luò)的工作原理的基礎(chǔ)上,將BP算法、Hopfield優(yōu)化的BP算法應(yīng)用于泵車液壓系統(tǒng)故障診斷。 通過對基于BP、H-BP和PSO三種神經(jīng)網(wǎng)絡(luò)的液壓系統(tǒng)故障診斷方法的研究與比較,文章提出了一種先采用粒子群算法優(yōu)化Hopfield網(wǎng)絡(luò)權(quán)值矩陣后的網(wǎng)絡(luò),對原始數(shù)據(jù)預(yù)處理,再進(jìn)行BP算法診斷結(jié)果的故障診斷方法,即PSO-H-BP算法,并將該算法應(yīng)用于液壓系統(tǒng)的故障診斷,驗(yàn)證其有效性和精確性。 實(shí)驗(yàn)表明:采用ATmega16與BenQ M22A組建的數(shù)據(jù)采集傳輸終端能夠?qū)崿F(xiàn)實(shí)時(shí)采集、快速通訊,具有很好的實(shí)用性;PSO-H-BP算法的BP、H-BP相比,具有較高的準(zhǔn)確性和可靠性。
[Abstract]:The remote fault diagnosis system is a system that connects the onsite terminal and the remote technology diagnosis center through GPRS wireless technology, and realizes immediate response, resource sharing, remote monitoring and remote diagnosis. It not only has the advantages of traditional fault diagnosis service, but also overcomes the limitation of time and region. The components of construction machinery are greatly affected by the environment, temperature, water vapor, dust and vibration. As the core of construction machinery, hydraulic system has a complex structure, and if failure occurs, it will directly affect its working efficiency. There were even major accidents. Remote fault detection and diagnosis for hydraulic system can shorten the downtime of construction machinery and improve economic efficiency. This paper takes the main hydraulic system of HB48 concrete pump car of a heavy machinery company as the research object, adopts ATmega16 single chip microcomputer as the main control core and BenQ M22A GPRS module as the transmission unit, and designs a remote data acquisition terminal. On the basis of analyzing the common fault mode and mechanism of hydraulic system and the working principle of neural network, the BP algorithm and Hopfield optimized BP algorithm are applied to the fault diagnosis of hydraulic system of pump car. Through the study and comparison of fault diagnosis methods of hydraulic system based on BP,H-BP and PSO neural networks, this paper proposes a network that optimizes the weight matrix of Hopfield network by using particle swarm optimization (PSO), and preprocesses the original data. Then the fault diagnosis method of BP algorithm, that is, PSO-H-BP algorithm, is applied to the fault diagnosis of hydraulic system to verify its validity and accuracy. The experimental results show that the data acquisition and transmission terminal constructed by ATmega16 and BenQ M22A can realize real-time acquisition, fast communication and good practicability, and the BP,H-BP of PSO-H-BP algorithm has higher accuracy and reliability.
【學(xué)位授予單位】：太原科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2011
【分類號】：TH165.3;TP183

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