Development of a Soft Sensor for Detecting Overpitched Green Anodes

Paris, Adéline; Duchesne, Carl; Poulin, Éric C.; Lauzon-Gauthier, Julien

doi:10.1007/978-3-030-36408-3_161

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…First, a description of PCA is presented in this section. Then, a summary of the soft sensor development proposed in [12] is provided.…”

Section: Soft Sensor Developmentmentioning

confidence: 99%

“…Since the work presented in this paper builds on the preliminary study performed by Paris and al. [12], this section summarizes the main step used to built the PCA soft-sensor.…”

Section: Pca-based Monitoring Schemementioning

confidence: 99%

“…As two known changes not related with sticking issues, namely the impact of the 4PP maintenance and small differences between the two vibrocompactors, were causing systematic shifts in the raw data, the normalization procedure proposed in [24,12] was applied to remove them. The resulting data free of known biases are then stored in the X p matrix.…”

Section: Pca-based Monitoring Schemementioning

confidence: 99%

“…Anode sticking during baking may also occur [12,13]. Such an abnormal event requires additional operator interventions during furnace unloading because stuck anodes cannot be placed directly on conveyors.…”

Section: Introductionmentioning

confidence: 99%

“…In a recent preliminary study [12], the authors assessed the potential of using green anode resistivity measurements for detecting the onset of post-baking anode sticking events. A Principal Component Analysis (PCA) model was built on electrical resistivity data collected from about 120 000 industrial green anodes produced over a two-year period, thus fabricated using different raw materials.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Soft Sensor for Detecting Overpitched Anodes: Detailed Investigation of an Anode-Sticking Event

Paris

Duchesne

Poulin

et al. 2021

Metall Mater Trans B

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Adjusting pitch ratio in green anode formulation is becoming difficult due to the increasing raw material variability. The optimal quantity of pitch yielding the best anode properties for a given aggregate, known as the optimal pitch demand (ODP), changes more frequently and is unknown a priori. Exceeding the OPD increases the risk of generating post-baking anode sticking events. Previously, the potential of a Principal Component Analysis (PCA)-based monitoring scheme for detecting the onset of these undesirable events was assessed by using a set of five green anode resistivity measurements collected from over 120,000 anodes produced over a two-year period. The Squared Prediction Error (SPE) was shown to be sensitive to abnormal events such as anode sticking. The objective of this paper is to further validate the soft sensor by studying the SPE dynamic behaviour during a post-baking sticking

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“…First, a description of PCA is presented in this section. Then, a summary of the soft sensor development proposed in [12] is provided.…”

Section: Soft Sensor Developmentmentioning

confidence: 99%

“…Since the work presented in this paper builds on the preliminary study performed by Paris and al. [12], this section summarizes the main step used to built the PCA soft-sensor.…”

Section: Pca-based Monitoring Schemementioning

confidence: 99%

Section: Pca-based Monitoring Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations