Application of Gaussian Processes to online approximation of compressor maps for load-sharing in a compressor station

11/23/2021
by   Akhil Ahmed, et al.
0

Devising optimal operating strategies for a compressor station relies on the knowledge of compressor characteristics. As the compressor characteristics change with time and use, it is necessary to provide accurate models of the characteristics that can be used in optimization of the operating strategy. This paper proposes a new algorithm for online learning of the characteristics of the compressors using Gaussian Processes. The performance of the new approximation is shown in a case study with three compressors. The case study shows that Gaussian Processes accurately capture the characteristics of compressors even if no knowledge about the characteristics is initially available. The results show that the flexible nature of Gaussian Processes allows them to adapt to the data online making them amenable for use in real-time optimization problems.

READ FULL TEXT

Authors

page 7

05/14/2019

Online Anomaly Detection with Sparse Gaussian Processes

Online anomaly detection of time-series data is an important and challen...
03/16/2018

Gaussian Processes indexed on the symmetric group: prediction and learning

In the framework of the supervised learning of a real function defined o...
09/22/2020

An Intuitive Tutorial to Gaussian Processes Regression

This introduction aims to provide readers an intuitive understanding of ...
03/15/2012

Automatic Tuning of Interactive Perception Applications

Interactive applications incorporating high-data rate sensing and comput...
04/10/2017

A probabilistic data-driven model for planar pushing

This paper presents a data-driven approach to model planar pushing inter...
10/28/2021

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

With a principled representation of uncertainty and closed form posterio...
09/23/2019

Kalman Filtering with Gaussian Processes Measurement Noise

Real-world measurement noise in applications like robotics is often corr...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.