PR-325-05216-R01 Turbocharger Performance Monitoring
Title
PR-325-05216-R01 Turbocharger Performance Monitoring
Subject
Gas engine, turbocharger
neural network
Description
Turbocharger performance, especially on SIP-call engines, remains essentially unmeasured even though tracking information over time would provide critical information to help field engineers lower their engine emissions as well as the cost of operations.
In 2006, with the assistance of funding from the Pipeline Research Council International Inc., ScavengeTech LLC developed and field tested a turbocharger monitoring system that consisted of a set of analog sensors to measure key turbocharger performance parameters and hardware to interface the sensor outputs to a computer. The collected data was then analyzed via a series of spreadsheets that normalized the data and trended it over time. While successfully demonstrated in the field, the hardware system was large and expensive. The anticipated sales price of $25,000 was outside the price point for widespread adoption by the industry.
In 2006, with the assistance of funding from the Pipeline Research Council International Inc., ScavengeTech LLC developed and field tested a turbocharger monitoring system that consisted of a set of analog sensors to measure key turbocharger performance parameters and hardware to interface the sensor outputs to a computer. The collected data was then analyzed via a series of spreadsheets that normalized the data and trended it over time. While successfully demonstrated in the field, the hardware system was large and expensive. The anticipated sales price of $25,000 was outside the price point for widespread adoption by the industry.
Creator
Dufur,Chapman
Source
Reports
Publisher
ScavageTech Inc
Date
6/23/2016
8/4/2018
Rights
Publicly available for $50.00
Relation
CPS
Type
Project - Final Report
Identifier
PR-325-05216-R01
Citation
Dufur,Chapman, “PR-325-05216-R01 Turbocharger Performance Monitoring,” Pipeline Research Council International Research Reports, accessed May 17, 2024, https://prci.omeka.net/items/show/2650.