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Sensor validation and reconciliation for a partial nitrification process.

C K Yoo1, K Villez, I B Lee

  • 1BIOMATH, Ghent University, Coupure Links 653, B-9000 Gent, Belgium. ckyoo@postech.edu

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|May 26, 2006
PubMed
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This study introduces a structured residual approach with maximum sensitivity (SRAMS) to detect and fix sensor faults in wastewater treatment. The method reliably identifies and reconstructs various sensor failures in the SHARON process.

Area of Science:

  • Environmental Engineering
  • Process Control
  • Sensor Technology

Background:

  • Wastewater treatment plants (WWTP) face challenges with sensor reliability due to harsh operating conditions.
  • Inaccurate sensor data can compromise the efficiency and effectiveness of wastewater treatment processes.

Purpose of the Study:

  • To develop and validate a robust sensor fault detection, identification, and reconstruction method for WWTPs.
  • To address the issue of poor data quality stemming from sensor unreliability in critical processes like SHARON.

Main Methods:

  • Implementation of a structured residual approach with maximum sensitivity (SRAMS) leveraging measurement redundancy.
  • Utilizing fault-insensitive and fault-sensitive inferences for sensor validation.
  • Application to a single reactor for high activity ammonia removal over nitrite (SHARON) process.

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Main Results:

  • Successful detection and identification of single and multiple sensor faults, including bias, drift, complete failure, and precision degradation.
  • Accurate estimation of fault magnitude and type through the reconstruction scheme.
  • Demonstrated effectiveness of SRAMS in a challenging industrial wastewater treatment environment.

Conclusions:

  • The SRAMS methodology provides a reliable solution for sensor validation in wastewater treatment.
  • The approach is versatile and applicable to various sensor types and continuous monitoring applications beyond the SHARON process.