Timing Aspects in Causality Analysis with Multilevel Flow Modelling

نویسندگان

چکیده

Temporal aspects of multilevel flow modelling (MFM) are important for reasoning about causes and consequences. In particular real time sensor data dependent on proper temporal ordering events in order to cope with plant dynamics. The purpose the present paper is contribute further development MFM by explaining how stamps associated measured signals can be used enhance causality analysis infer possible a sequence alarms.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Consequence Reasoning in Multilevel Flow Modelling

Consequence reasoning is a major element for operation support system to assess the plant situations. The purpose of this paper is to elaborate how Multilevel Flow Models can be used to reason about consequences of disturbances in complex engineering systems. MFM is a modelling methodology for representing process knowledge for complex systems. It represents the system by using means-end and pa...

متن کامل

Hazard identification by extended multilevel flow modelling with function roles

HAZOP studies are widely accepted in chemical and petroleum industries as the method for conducting process hazard analysis related to design, maintenance and operation of the systems. In this paper, a HAZOP reasoning method based on function-oriented modelling, multilevel flow modelling (MFM) is extended with function roles to complete HAZOP studies in principle. A graphical MFM editor, which ...

متن کامل

Modelling with Context-Dependent Causality

Decision support systems may require the use of existing complex mathematical models. It is desirable to reduce the equations of such a model to an explanatory causal form to support decision making. It is argued here that a combination of extracting information from the user and heuristics to reduce the equations to a suitable form are sufficient to produce a reasonable causal explanation from...

متن کامل

Aspects of Graphical Models Connected with Causality

This paper demonstrates the use of graphs as a mathematical tool for expressing independenices, and as a formal language for communicating and processing causal information in statistical analysis. We show how complex information about external interventions can be organized and represented graphically and, conversely, how the graphical representation can be used to facilitate quantitative pred...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IFAC-PapersOnLine

سال: 2022

ISSN: ['2405-8963', '2405-8971']

DOI: https://doi.org/10.1016/j.ifacol.2022.07.201