Nowadays in modern industries, the scale and complexity of process systems are increased continuously. These systems are subject to low productivity, system faults or even hazards because of various conditions such as mis-operation, equipment quality change, externa
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
327 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Modern chemical processes are...
327 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Modern chemical processes are...
Now-a-days in modern industries, the scale and complexity of many systems are increased continuously...
With increasing automation in chemical processes, occurrences of faults are very common now a days. ...
Abstract — Fault detection in large-scale systems is conducted by the use of sensors, thus the senso...
Quick fault detection and diagnosis is very important for effective decision making during abnormal ...
Abnormal Situation Management (ASM) and Process Hazards Analysis (PHA) are two tasks aimed at improv...
This paper is concerned with the fusion of information from process data and process connectivity an...
Performance of fault diagnosis system based on signed directed graph (SDG) is experimentally analyze...
To create a precise model structure and perform fault monitoring algorithms for a wide range of comp...
xvi, 165 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EE 2003 LoIn recent years, ...
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
An optimally located network of sensors is a prerequisite for successful application of fault diagno...
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
327 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Modern chemical processes are...
327 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Modern chemical processes are...
Now-a-days in modern industries, the scale and complexity of many systems are increased continuously...
With increasing automation in chemical processes, occurrences of faults are very common now a days. ...
Abstract — Fault detection in large-scale systems is conducted by the use of sensors, thus the senso...
Quick fault detection and diagnosis is very important for effective decision making during abnormal ...
Abnormal Situation Management (ASM) and Process Hazards Analysis (PHA) are two tasks aimed at improv...
This paper is concerned with the fusion of information from process data and process connectivity an...
Performance of fault diagnosis system based on signed directed graph (SDG) is experimentally analyze...
To create a precise model structure and perform fault monitoring algorithms for a wide range of comp...
xvi, 165 leaves : ill. ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EE 2003 LoIn recent years, ...
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
An optimally located network of sensors is a prerequisite for successful application of fault diagno...
Causal knowledge in complex process systems is a powerful representational model that permits a rang...
327 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Modern chemical processes are...
327 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.Modern chemical processes are...
DOI
Add to ORKG