🚨PIN28 Meeting, 🗓Tuesday 5th July 2022, 📍Newcastle University, Research Beehive, Room 2.21, 📋Registration available soon

What is PI? | Facilities | Group Members | Live Grants | News | Publications | PhD Opportunities | Networks | PIG Books | Alumni

  Ruosen Qi

Postgraduate Student

Fault Prognosis and Fault Magnitude Estimation Based on Hybrid Computational Intelligence and Data Analysis Techniques for Industrial Processes


Fault prognosis technology is a more advanced form of maintenance support than fault diagnosis. It is a new multidisciplinary discipline that involves mechanical, electronic, computer, communications, control, and materials. It takes the operating status of the current system as a starting point and combines the structural characteristics, parameters, environmental conditions, and historical data of known predicted objects to predict, analyze, and determine the future faults of the system and determine the nature, type, degree, and cause of the fault. It points out the development trend and consequences of the failure so that the failure can be eliminated in advance to ensure the normal operation of the system and reduce maintenance costs.


To investigate the possible use of fault prognosis in the industrial process, various data-based methods are combined to analyze the development trend of system failure data and apply as much as possible to a variety of systems. Simulated chemical plants will be used to test the developed fault prognosis methods.




 Last modified: 09-Mar-2022