本文選題：發(fā)電機組 + 信息融合　； 參考：《華東理工大學(xué)》2014年碩士論文

【摘要】：隨著現(xiàn)代社會用電量的急劇增加,為居民和企業(yè)提供持續(xù)不間斷的供電已變得愈發(fā)重要,其直接關(guān)系到國民經(jīng)濟的健康發(fā)展。近些年來新能源技術(shù)開始慢慢發(fā)展,但這些能源提供的電能都是零散的,小范圍的,且技術(shù)還不夠成熟,因此傳統(tǒng)的能源發(fā)電,比如火力發(fā)電,仍處于主導(dǎo)地位。如何提前對這些發(fā)電機組進(jìn)行有效的故障診斷以保障其正常運行被提上日程。由于發(fā)電機組故障機理日趨復(fù)雜化和多樣化,傳統(tǒng)的故障診斷方法己不能滿足現(xiàn)代化設(shè)備的需要,本文就是在這樣的背景下,開展了信息融合技術(shù)在發(fā)電機組故障診斷中的應(yīng)用研究。 針對信息融合技術(shù)中的D-S證據(jù)理論在證據(jù)存在高沖突情況下無法獲取準(zhǔn)確的診斷結(jié)果的問題,本文提出了兩種修改組合規(guī)則的方法對傳統(tǒng)的D-S證據(jù)理論進(jìn)行了改進(jìn)。一種是認(rèn)為沖突信息是部分可用的,其可利用的程度取決于證據(jù)的支持權(quán)和證據(jù)的平均支持度的乘積,并通過實際的數(shù)值算例來驗證了該方法的有效性。其二是認(rèn)為即使證據(jù)之間有沖突但也是完全可用的,把證據(jù)沖突概率按各個命題的均比支持度加權(quán)進(jìn)行分配,并將其應(yīng)用到發(fā)電機組的故障診斷中,取得了良好的融合結(jié)果。
[Abstract]:With the rapid increase of electricity consumption in modern society, it has become more and more important for the residents and enterprises to supply continuous and continuous power supply. It is directly related to the healthy development of the national economy. In recent years new energy technology has begun to develop slowly, but the energy provided by these energy sources is scattered, small, and the technology is not mature enough. Therefore, the technology is not mature enough. Therefore, the technology is not mature enough. Therefore, the technology is not mature enough, therefore, the transmission of energy is not mature enough. Energy generation, such as thermal power generation, is still in the leading position. How to make effective fault diagnosis of these generators in advance to ensure its normal operation is put on the agenda. Because of the increasingly complex and diversified fault mechanism of the generator set, the traditional fault diagnosis method can not meet the needs of modern equipment. This paper is this paper In this context, the application of information fusion technology in fault diagnosis of generating units is studied.
In view of the problem that D-S evidence theory in information fusion technology can not obtain accurate diagnosis results in the case of high conflict of evidence, this paper proposes two methods of modifying combination rules to improve the traditional D-S evidence theory. One is that the conflict information is partially available, and the extent to which it can be used depends on the evidence. The product of the support weight and the average support of evidence is verified by a practical numerical example. Secondly, it is considered that even if there is a conflict between the evidence but also completely available, the probability of the conflict of evidence is weighted by the average of the propositions than the support degree, and is applied to the fault diagnosis of the generator set. Good fusion results have been achieved.

【學(xué)位授予單位】：華東理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM31;TP202

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