Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)

Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)

Fault detection using CUSUM based techniques with application to the Tennessee Eastman Process

In this paper, a cumulative sum based statistical method is used to detect faults in the Tennessee Eastman Process (TEP). The methodology is focused on three particular faults that could not be observed with other fault detection methodologies previously reported. Hotelling’s-T charting based on the cumulative sums of the faults’ relevant variables was successful in detecting these faults, howe...

Towards Distributed Diagnosis of The Tennessee Eastman Process Benchmark

A distributed hybrid strategy is outlined for the isolation of faults and disturbances in the Tennessee Eastman Process, which would build on existing structures for distributed control systems, so should be easy to implement, be cheap and be widely applicable. The main emphasis in the paper is on one component of the strategy, a steady state based approach. Results obtained by applying this ap...

Fault Detection using DPCA-based Control Charts

In this paper, Hotelling’s 2 T chart and the DPCA(Dynamic PCA)-based 2 A T and Q charts are applied to real oil data histories obtained from condition monitoring of heavy hauler truck transmissions. The objective is to evaluate the impending failure detection capability and the false alarm rate of the control charts in a CBM (conditionbased maintenance) application. When applied to failure hist...

Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space

This paper focuses on the Tennessee Eastman (TE) process and for the first time investigates it in a cognitive way. The cognitive fault diagnosis does not assume prior knowledge of the fault numbers and signatures. This approach firstly employs deterministic reservoir models to fit the multiple-input and multiple-output signals in the TE process, which map the signal space to the (reservoir) mo...