Engine catalyst diagnostics
AssigneeFord Global Technologies, LLC
InventorsImad Hassan Makki, James Michael Kerns, Michael James Uhrich, Stephen B. Smith, Pankaj Kumar, Adam Banker
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Abstract
Embodiments for predicting catalyst function are disclosed. One example embodiment includes applying a set of parameter readings for a given sample to a support vector machine to generate a classification output, recording a plurality of classification outputs for a plurality of successive samples over a first duration, and indicating catalyst degradation if a threshold percentage of the classification outputs indicates degraded catalyst performance. In this way, catalyst degradation may be indicated using a simplified model that does not require extensive calibration.
Claims20
A method of monitoring catalyst performance, comprising:
- applying a set of parameter readings for a given sample to a support vector machine to generate a classification output;
- recording a plurality of classification outputs for a plurality of successive samples over a first duration;
- and
- indicating catalyst degradation if a threshold percentage of the classification outputs indicates degraded catalyst performance.
A method of monitoring catalyst performance, comprising:
- applying a set of parameter readings for a given sample to a support vector machine to generate a classification output;
- recording a plurality of classification outputs for a plurality of successive samples over a first duration;
- recording a plurality of classification outputs for a plurality of successive samples over a second duration following the first duration and without an engine shutdown occurring between the first and second durations;
- and
- indicating degradation of the catalyst if a percentage of the classification outputs is above a threshold level in each of the first and second durations.
A method of monitoring catalyst performance, comprising:
- applying a set of parameter readings for a given sample to a support vector machine to generate a classification output;
- recording a plurality of classification outputs for a plurality of successive samples over a first duration;
- recording a plurality of classification outputs for a plurality of successive samples over a second duration following the first duration and without an engine shutdown occurring between the first and second durations;
- and
- indicating degradation of the catalyst if a percentage of the classification outputs for each of the first and second durations indicates the catalyst is degraded.
Dependencies are inferred from the claim text.