Conference Paper

Current status of the MFM suite for diagnostic and prognostic reasoning of industrial process plants

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This paper presents the status of a software system, the Multilevel Flow Modeling (MFM) Suite, dedicated to the design and analysis of MFM models related to diagnostic and prognostic analysis of physical processes. New and updated features of the system are described, as well as some examples of its practical use. The paper also briefly describes how the system facilitates the collaboration between control room and field operators via the Android-based MFM Viewer app.

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Selama waktu operasi reaktor, struktur, sistem dan komponen (SSK) reaktor, misalnya sistem pendingin primer, akan mengalami penuaan atau keusangan yang akan mempengaruhi kinerja dan operasi selamat dari reaktor tersebut. Hal ini juga berlaku pada Reaktor Serba Guna G.A. Siwabessy (RSG-GAS) yang usianya lebih dari 30 tahun. Oleh karena itu program manajemen penuaan harus dilakukan untuk mengatasi hal tersebut. Salah satu aktivitas yang dilakukan adalah dengan melakukan penapisan komponen kritis sistem pendingin primer. Penelitian ini bertujuan untuk melakukan penapisan tersebut menggunakan model multilevel flow modeling (MFM) pada sistem pendingin primer RSG-GAS. MFM adalah salah satu metode functional modeling yang mengubah sistem kompleks menjadi struktur fungsi-fungsi yang saling terhubung dengan hubungan sebab akibat. Metode yang dilakukan adalan dengan menerapkan beberapa skenario kejadian kecelakaan loss of flow accident (LOFA) yang terdapat pada Laporan Analisis Keselamatan (LAK) RSG-GAS pada model MFM tersebut. Dampak dari kejadian tersebut dapat dianalisis menggunakan aturan jalur perambatan (influence propagation). Hasil investigasi berupa komponen-komponen yang terdampak, yaitu katup isolasi, pompa primer dan alat penukar panas, dikelompokkan sebagai komponen kritis dan harus mendapat perhatian untuk penanganan lebih lanjut. Jika komponen-komponen tersebut mengalami keusangan atau kerusakan maka harus dilakukan perawatan atau penggantian sehingga kinerja reaktor dapat dipertahankan dan reaktor dapat tetap beroperasi dengan aman dan selamat.
Conference Paper
This paper reports on the results from the practical application of the ShapeShifter framework on the continued development of a graphical editing suite, the MFM Suite, for MFM and process model design and analysis. The primary use of the MFM Suite is diagnosis and prognosis of anomalies in physical processes. One of the Halden Reactor Project’s advanced NPP simulators based on a PWR is used to demonstrate the applicability of the suite in realistic situations. The paper presents a summary and suggests some plans for future research and development.
Conference Paper
This paper demonstrates how a generic agent-oriented framework can be used in advanced automation environments, for systems analysis in general and supervision, diagnosis and prognosis purposes in particular. The framework’s background and main application areas are briefly described. Next, the function-oriented method Multilevel Flow Modeling (MFM) and its reasoning mechanisms that have proven strength in qualitative planning, modeling and diagnosis activities are introduced. The main enhancements of the framework, as well as an MFM editor based on the framework and towards function-oriented supervision, diagnosis and prognosis purposes are equally explained. Finally, the paper sums up by also addressing plans for further enhancement and in that respect integration with other tailor-made tools for joint treatment of various modeling and analysis activities upon advanced automation environments.
Conference Paper
The paper describes the continued development of the Java-based ShapeShifter framework, previously described in papers published in the ESREL 2010 and 2011 proceedings, including updated and new base classes, visual components and essential functionality. The framework is based on the Capability-Oriented Agent Theory, advocating a multi-purpose view of socio-technical systems as made of human, organizational and technical agents and their assets. The paper further reports on how the framework is being used in the development of a graphical editor supporting the Multilevel Flow Modeling (MFM) method, to be utilized for Supervision, Diagnosis, and Prognosis (SDP) applications in advanced automation environments. The recently started development of the ShapeShifter-based Process Modeler, which in combination with the MFM Editor and the reasoning capabilities of the MFM Workbench developed by the Technical University of Denmark will constitute the MFM Suite, is also described.
Conference Paper
This paper summarizes the development to date of the Java-based MFM Editor, a graphical editor supporting the Multilevel Flow Modeling (MFM) method, to be used for Supervision, Diagnosis and Prognosis (SDP) applications in advanced automation environments. The editor builds on the ShapeShifter graphical framework, previously described in the proceedings of the ESREL 2010, 2011 and 2012 conferences. The paper focuses on the editing capabilities and the recently added reasoning functionality (provided by the Technical University of Denmark) required to perform cause and consequence analyses (diagnosis and prognosis) of MFM models. Also, a recently developed process design module is described in some detail.
  • Friedmann-Hill
Friedmann-Hill, Ernest, 2003. Jess in Action, Manning Publishing Co (ISBN 1930110898), USA, 2003 (http://
Diagnostic Decision Support -Recent Development and Updates of the MFM Suite
  • Harald P-J Thunem
Thunem, Harald P-J, 2017. Diagnostic Decision Support -Recent Development and Updates of the MFM Suite, Halden Report HWR-1223, Institute for Energy Technology, August 2017.
Assessing Operational Situations
  • Xinxin Zhang
Zhang, Xinxin 2015. Assessing Operational Situations, PhD thesis, Department of Electrical Engineering, Technical University of Denmark, June 2015.
Applying MFM to the PWR Analysis: The experimental results and preliminary conclusions
  • Xinxin Zhang
Zhang, Xinxin et al. 2016. Applying MFM to the PWR Analysis: The experimental results and preliminary conclusions, Halden Report HWR-1191, Institute for Energy Technology, March 2016.