Home » News » BRAIN: Intelligent System for Diagnosis of a Three-Phase Separator


March 2016
« Feb   Sep »

Read these articles

  • BRAND: Effect of Professionalism, Competence, Knowledge of Financial ManagementBRAND: Effect of Professionalism, Competence, Knowledge of Financial Management
    In the latest volume of the BRAND, Darwanis Darwanis, Mulia Saputra and Kartini Kartini prove to what extent the condition of financial reporting area is influenced by the professionalism, competence, knowledge of financial management and …
  • BRAIN: Social Media as Medical Validator
    The electronic word of mouth (eWOM) is a communication form adapted to the digitalized world of today where persons that never met communicate in an impersonal manner. The paper Social Media as Medical Validator written …
  • BRAIN: Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics
    In order to ensure optimal teaching conditions for university students, attention should be brought to their personality traits and academic performance. In the paper Personality Questionnaires as a Basis for Improvement of University Courses in …
  • BRAIN: The Differences between Emergentism and Skill Acquisition TheoryBRAIN: The Differences between Emergentism and Skill Acquisition Theory
    When speaking about emergentism we mainly refer to the interaction between organism and environment and that denies the existence of pre-determined, domain specific faculties or capacities. In language acquisition, emergentists state that simple learning mechanisms …
  • BRAND: Pricing in Multi-Heston Framework
    BRAND journal provides a very interesting article written by Tiberiu Socaciu from Stefan cel Mare University of Suceava, Faculty of Economics. This article displays a definitive in determining an estimating system’s multi-Heston. Fundamentally, he utilizes the …
  • BRAND: The Role of the Penalty Clause in BusinessBRAND: The Role of the Penalty Clause in Business
    In the latest volume of the BRAND, the legal adviser Maria Stegariu, in the article The Role of the Penalty Clause in Business, explains the most important things that need to be known regarding the …
  • BRAND: A Study of Principled Negotiation Based on the Chinese Harmony ThoughtBRAND: A Study of Principled Negotiation Based on the Chinese Harmony Thought
    In the latest volume of the BRAND, Shougang Zhang and Milan Constantinovits shows the importance of international negotiation in the process of globalisation. Cultural diversity has determined many failures in different domains, especially when it …
  • BRAIN: Brain Functors
    BRAIN journal has recently published its latest volume Brain Functors: A mathematical model of intentional perception and action by David Ellerman. Classification hypothesis has foundational significance since it gives applied lenses to describe what is …
  • BRAIN: Sentiment Analysis on Embedded Systems Blended CoursesBRAIN: Sentiment Analysis on Embedded Systems Blended Courses
    The paper written by Răzvan Bogdan from the Department of Computers and Information Technology, Politehnica University of Timisoara, includes a presentation of a modality of integrating Embedded Systems Massive Open Online Courses (MOOCs) into blended …
  • BRAND: Mediation – The Wise Advocacy
    Antagonistic prosecution is not by any means the only method for determining debate and settling of cases. There are different alternatives. Elective method for debate determination can spare cash and time, and can grapple and …
  • BRAND: Indian Kisan Credit Card Scheme: An Analytical StudyBRAND: Indian Kisan Credit Card Scheme: An Analytical Study
    In the latest volume of the BRAND, Dharmendra Mehta, Hitendra Trivedi, and Naveen K Mehta will not only explain the key features and assess the role and contribution of Kisan credit card scheme but also …
  • LiBRI: Risk-Assessment for Stylistic Problems in Writing and Translating Technical Texts
    Nadia-Nicoleta Morărașu and Luminița Drugă acknowledge not only the importance and utility of technical translation, but also the risks that this transfer of meaning imply if the translation is not accurate. The two authors aim …


BRAIN: Intelligent System for Diagnosis of a Three-Phase Separator

Wise frameworks for analysis have been utilized as a part of an assortment of spaces: budgetary assessment, credit scoring issue, distinguishing proof of programming and equipment issues of mechanical and electronic hardware, therapeutic determination, shortcoming identification in gas-oil generation plants and so forth. The objective of determination frameworks is to order the watched side effects as being brought about by some finding class while prompting frameworks perform such a characterization and offer restorative cures (suggestions).

The present paper examine the chance to consolidate more smart procedures and techniques (shrewd operators, information mining and master frameworks) to build the exactness of results acquired from the finding of a three-stage separator. The outcomes demonstrate that the analysis half breed framework profits by the benefits of every module part: wise operators module, information mining module and master framework module.

DiagAgentExpertDM architecture
DiagAgentExpertDM architecture

The day by day operations of an oil and gas creation framework require numerous choices, at various levels of association and making satisfactory choice is a troublesome assignment as a result of the monetary and natural dangers event if strange circumstances are not distinguished and oversaw suitably.

Building an analysis framework requires numerous years of involvement in area, a merge group of specialists (designers, administrators, engineers and so on.) and a critical volume of information for usage and testing period of the framework, disconnected from the net reenactments.
An analysis framework is one that is equipped for examining so as to distinguish the way of an issue the watched indications (the information of the framework) and to deliver a conclusion report with or without a clarification or avocation (the yield of the framework). In numerous utilizations of interest it is attractive for the framework and very important, to not just distinguish the conceivable reasons for the issue additionally to offer suitable arrangements (proposals) to remediate the irregularities that happened.

Distinguishing the reasonable justification related to a deficiency is performed in light of the satisfactory learning of the investigated area. The fundamental information might be spoken to in a standard structure (i.e. demonstrative principles for master frameworks) into the framework by space specialists (heuristic learning). In other case, machine learning strategies are utilized for computerized information securing.

The creators proposed a half breed conclusion framework utilized as a part of oil industry (DiagAgentExpertDM), as an aftereffect of their examination work with respect to the application on insightful methods in mechanical field (Ioniță and Ionită, 2013, Ioniță, 2014, Ioniță and Ioniță, 2015). The information utilized for preparing and testing the framework were gathered from a gas-oil partition plant (GOSP). The undertaking of information mining (DM) part is to give the best order model (as choice tree model).

The expert system uses the induction rules acquired from the DM component and gives an evaluation report regarding the functioning of a gas-oil separator, as a group of three attributes: alarm, cause, solution.

The yield of master framework is handled by Diagnosis Agent which speaks with Operator Agent (the fundamental specialists from the multi-specialists framework GOSP-MAS (Ioniță, 2014)).The determination I. Ioniţă, L. Ioniţă – Intelligent System for Diagnosis of a Three-Phase Separator19 framework DiagAgentExpertDM have the most imperative elements of each “canny” part: versatile gaining from operators, learning from master framework module and prescient conduct from information mining segment.

After a short description of the diagnosis problem and the motivation of the authoress in choosing this subject (in introduction), section 2 of this paper discusses about various approaches to the design of intelligent diagnosis systems, emphasizing their strengths and limitations.

This investigation additionally recommends fascinating potential outcomes for cross breed procedures that consolidate distinctive methodologies (clever specialists, information mining and master framework), the proposed finding framework for a three-stage separator being displayed in section 3 of the article. Section 4 contains the outcomes and the comments, lastly, conclusions with respect to the exploration work are specified.

Read more here!

Diana-Elena Melinte