Build an Abnormal Event Detection Model
Abnormal events like mechanical faults and unexpected disturbances cause process variation leading to degraded quality and even lost production time due to the actions of safety systems resulting in trips. By giving the operator advanced warning of these developing situations, it can provide crucial extra time to react and keep the system running, improving the time on line as well as providing quality and safety benefits.
The cost of developing a simulation or mechanistic model of every unit and equipment is high, requiring specialized modelling training and manpower to evaluate failure scenarios. This makes it prohibitive for most (or all) equipment and process units.
In this webinar we demonstrate Geometric Process Control, a low-cost process visualization technology for building models that can be used to understand historic events as well as providing a real-time model that can capture deviations in real-time, alerting operations to impending degraded process operation. We’ll show you how you can do it too. We’ll include case studies that illustrate the ease of investigation and model building, and include some successful impacts of real-time monitoring.
First presented on: 14th & 15th April, 2021.
Presenter: Alan Mahoney PhD