فایل ورد کامل VIBEX: یک سیستم خبره برای عیب یابی ارتعاش ماشین آلات چرخشی با استفاده از درخت تصمیم و جدول تصمیم

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تعداد صفحات این فایل: ۲۶ صفحه

مقاله حاضر توسعه سیستم خبره تشخیص ارتعاش، VIBEX، را شرح می دهد که به عملگرها و اپراتورهای ماشین آلات چرخشی امکان حل مسائل ارتعاش را می دهد، زمانی که قادر به دستیابی به دانش متخصص و کارشناس نمی باشند. از سیستم خبره برای فراهم نمودن اطلاعات ممکن جهت جایگزینی توصیه های متخصص استفاده می شود. از آنجایی که VIBEX از ماتریس علت- نتیجه محتوی ۱۸۰۰ ضریب اطمینان استفاده می کند، در نتیجه برای نظارت و تشخیص ماشین آلات چرخشی مناسب می باشد. به علاوه از این سیستم می توان برای ماشین آلات چرخشی دیگر نظیر ماشین آلات توربو استفاده نمود. با مقایسه VIBEX-TBL و VIBEX-DT، به این نتیجه می رسیم که دو سیستم در تشخیص ماشین عملکرد خوبی به معرض نمایش گذاشته و حتی در صورت موجود نبودن اطلاعات، به صورت پایدار و محکم ظاهر می شوند. VIBEX-DTکار تشخیص را کارآمدتر از VIBEX-TBL انجام می دهد. VIBEX-DTبا ۱۴ علت ارتعاش سروکار داشته و احتمال بالاتر از علل دیگر می باشد. سیستم با کارایی و صحت و با پایگاه دانش تخصصی سطح بالاتری برای ماشین های خاص، ارتقاء و توسعه خواهد یافت

عنوان انگلیسی:VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table~~en~~

Introduction Rotating machinery is widely used in industry and is a critical machinery. Due to the high operating speed, large load and severe working conditions, when a fault occurs it needs to be identified for possible causes and conduct remedical action immediately. Condition monitoring has been used to detect an abnormality of the machine and use to detect incipient failures in rotating machinery and plays a significant role in preventing dangerous accidents from occurring and in improving economic efficiency. To detect an abnormal condition, vibration information is widely used, since vibration signals contain the dynamic characteristics of the machine condition and therefore early detection of incipient failure can be easily detected (Kanki, Yasuda & Umemura, 1993). Diagnosis is a process of locating the exact cause(s) of a failure or a fault. Once a failure has been detected, the maintenance engineer is to identify the symptoms, analyze the symptomatic information, interpret the various error messages and indications and come up with the right diagnosis of the situation in terms of which components may have caused the fault and the reasons for the failure of the components. Since a machine has many components and is highly complex, diagnosis of a machine fault usually requires technical skill and experience. It also requires extensive understanding of the machine’s structure and operation, and some general concepts of diagnosis. This requires an expert engineer to have a domain specific knowledge of maintenance and knows the ‘ins-and-outs’ of the system. In a normal situation, the expert is either too busy with some other tasks or a specific component expert is not available at all (Patel & Kamrani, 1996). In order to better equip with a non-expert to carry out the diagnosis operations, it would be wise to present the causesymptom relationship in a tabular form for quick comprehension and a coincise representation. However, advanced knowledge and experience of an expert are required to analyse the causes, since the vibration signals from the machine are the results from changes of various conditions and are very complex and complicated. Due to high performance and complexity of the system, an approach to define the relationship between the causes and the resulting symptoms is needed. For examples, decision table (DTA) (Baesens, Setiono, Mues & Vanthienen, 2003), decision tree (DT) (Kim & Koehler, 1995; Quinlan, 1993; Yang, Part, & Kim, 2000) and decision graph (Kohavi & Li, 1995; Oliveira & Sangiovanni-Vincentelli, 1996) are some of the practical and popular approaches to meet the objectives of clarity, conciseness, and comprehensibility. These techniques lend themselves to computerized analysis and evaluation and can be easily incorporated into the expert system (ES). Many researchers have tried to establish ways for using them in vibration diagnostics. Consequently, vibration diagnostics expert systems have recently been developed to represent knowledge of human experts in a structured manner (Gemmell, MacDonald & Stewart, 1998; Kuhnell, Mingfei & Anvar, 1991; Liu & Chen, 1995). An ES consists of a knowledge base and a reasoning engine. Many methods have been proposed to date. The combination of probabilistic and statistic method is one of the most popular methods adopted in ES. This method consists of a modeling system which uses the expert’s reasoning process, since knowledge and experience of the expert is the result obtained from many cases resulting in practical field. This study presents an integrated diagnostic expert system VIBEX (VIBration EXpert) that can be applied to fault diagnosis of rotating machinery using vibration signal. The proposed system combines two techniques; a DTA which is constructed on known cases and a DT which is constructed to make classification modeled by the inductive acquiring process. 2. Expert system (ES) The proposed VIBEX is a consultation program based on computer system which approaches certain problem area based on practical knowledge (Gemmell, MacDonald, & Stewart 1998). VIBEX is an expert system which supports various functions and the schematic of the system is shown in Fig. 1. The system consists of two programs, VIBEXTBL and VIBEX-DT. VIBEX-TBL is used to query the diagnostic process using DTA with cause-result matrix which represents the causes of vibration and machine conditions. Also, this system contains a DTA editor which is used to input, modify and delete the vibration information. Since VIBEX-TBL has 42 embeded abnormal causes of vibration and 31 vibration symptoms according to five vibration information groups, it can be directly applied to diagnosis a problem. VIBEX-DT is used to query the process using a DT which is constructed by training the data. In the VIBEX-DT, a DT generator can be used directly and easily to construct the DT to diagnose the rotating machinery with an intuitive and conversational method. VIBEX-TBL has an advantage when use to diagnose complicated vibration causes because VIBEX-DT can grasp the causes of vibration and narrows the criteria. The combined systems complement each other. The system program runs on Windows platform and has a convenient user interface. Visual Basic and Visual CCC were used for developing the diagnostic system.

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