Abnormal situation prevention in a heat exchanger

Résumé :
A system and method Io facilitate the monitoring and diagnosis of a process control system and a any elements thereof is disclosed with a specific premise of abnormal situation prevention in a heat exchanger.

Monitoring and diagnosis of faults in a heat exchanger includes statistical analysis techniques, such as regression and load following. In particular, on-line process data is collected from an operating heat exchanger. A statistical analysis is used to develop a regression mode! of the process.

The output may use a variety of parameters from the model and may include normalized process variables based on the training datan and process variable limits or model components.

Each of the outputs may be used to generate visualizations for process monitoring and diagnostics and perform alarm diagnostics to detect abnormal situations in the heat exchanger.