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View article: The effect of operating conditions on neutral sulphite semi-chemical pulping properties: an industrial pilot plant study
The effect of operating conditions on neutral sulphite semi-chemical pulping properties: an industrial pilot plant study Open
The influence of pulping variables on the pulp and black liquor properties for a neutral sulphite semi-chemical pulping system was investigated in a pilot plant pulping setup situated at an industrial paper mill. Eucalyptus chips were used…
View article: Probabilistic methods for flotation circuit mass balance estimation
Probabilistic methods for flotation circuit mass balance estimation Open
View article: Modelling and Simulation of the Operational Benefits of Online Correction of Metallurgical Short Circuits in Copper Electrowinning
Modelling and Simulation of the Operational Benefits of Online Correction of Metallurgical Short Circuits in Copper Electrowinning Open
View article: End-to-end process monitoring: Challenges and framework for case study design
End-to-end process monitoring: Challenges and framework for case study design Open
The theory and practice of process monitoring are diverging. Practical process monitoring requires fault detection, identification, diagnosis, and the implementation of process recovery actions. Algorithmic design and automation of all the…
View article: Comparison of online and offline pulp sensor metrics in an industrial setting
Comparison of online and offline pulp sensor metrics in an industrial setting Open
Pulp-phase dynamics strongly impact flotation performance, yet flotation control and monitoring are usually limited to surface level froth characteristics. An online pulp-phase sensor promises a better understanding of flotation process dy…
View article: One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study
One-Dimensional Convolutional Auto-Encoder for Predicting Furnace Blowback Events from Multivariate Time Series Process Data—A Case Study Open
Modern industrial mining and mineral processing applications are characterized by large volumes of historical process data. Hazardous events occurring in these processes compromise process safety and therefore overall viability. These even…
View article: A Hierarchical Approach to Improve the Interpretability of Causality Maps for Plant-Wide Fault Identification
A Hierarchical Approach to Improve the Interpretability of Causality Maps for Plant-Wide Fault Identification Open
Modern mineral processing plants utilise fault detection and diagnosis to minimise time spent under faulty conditions. However, a fault originating in one plant section (PS) can propagate throughout the entire plant, obscuring its root cau…
View article: Exergy-based fault detection on the Tennessee Eastman process
Exergy-based fault detection on the Tennessee Eastman process Open
The exergy-based fault detection method has not yet been applied to a complex industrial system that adequately represents a dynamically changing process. One such system, the Tennessee Eastman process, is commonly used as a benchmark for …
View article: Industrial PID Control Loop Data Repository and Comparison of Fault Detection Methods
Industrial PID Control Loop Data Repository and Comparison of Fault Detection Methods Open
This paper presents the control loop data of industrial controllers that are recently made available online. All data are verified and some of it has been published previously to develop fault detection and diagnosis methods. Methods to de…
View article: Controller Maintenance Prioritisation with LoopRank for a Milling and Flotation Plant
Controller Maintenance Prioritisation with LoopRank for a Milling and Flotation Plant Open
This paper describes the use of the LoopRank algorithm to determine the importance of control loops in large operating plants. Defining control loop importance is an important step towards the prioritization of control loop maintenance eff…
View article: An energy-attributed graph approach for the purposes of FDI in a heated two-tank system
An energy-attributed graph approach for the purposes of FDI in a heated two-tank system Open
The focus of this paper is the development of attributed graph representations of industrial processes. In this case energy attributes are used since it serves a data reduction purpose and allows for the consideration of multi-domain syste…
View article: Fault Diagnosis for an Industrial High Pressure Leaching Process with a Monitoring Dashboard
Fault Diagnosis for an Industrial High Pressure Leaching Process with a Monitoring Dashboard Open
Although fault detection and diagnosis are extensively studied and demonstrated on synthetic benchmarks, very few demonstrations of industrial application exist. In this paper, an investigation of faulty conditions in an industrial base me…
View article: Economic Assessment of Condition-based Maintenance with Statistical Process Monitoring
Economic Assessment of Condition-based Maintenance with Statistical Process Monitoring Open
Fault detection and identification methods have received extensive study in the literature, but very rarely demonstrate the economic impact of these interventions. In this paper, a simulation of a two-tank system with economic performance …
View article: Variational Autoencoders for Missing Data Imputation with Application to a Simulated Milling Circuit
Variational Autoencoders for Missing Data Imputation with Application to a Simulated Milling Circuit Open
Missing data values and differing sampling rates, particularly for important parameters such as particle size and stream composition, are a common problem in minerals processing plants. Missing data imputation is used to avoid information …
View article: An Industrial PID Data Repository for Control Loop Performance Monitoring (CPM)
An Industrial PID Data Repository for Control Loop Performance Monitoring (CPM) Open
Control loop performance monitoring methods to detect problems in PID loops are developed and tested using industrial data sets. The data is captured from the process, passed on to the researcher who tries out new detection and diagnosis m…
View article: Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index
Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index Open
Oscillations in mineral processes can propagate through multiple units, causing important controlled variables to deviate from their set points and degrade control performance. Root cause diagnosis of oscillations enables corrective action…
View article: Spiral Concentrator Interface Monitoring Through Image Processing: A Statistical Learning Approach
Spiral Concentrator Interface Monitoring Through Image Processing: A Statistical Learning Approach Open
Spiral concentrators are robust gravity separation devices that allow for concentration of slurry streams. Optimal splitter position (which determines recovery and grade) is dependent on the interface positions of the concentrate, middling…
View article: Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing
Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing Open
Image-based soft sensors are of interest in process industries due to their cost-effective and non-intrusive properties. Unlike most multivariate inputs, images are highly dimensional, requiring the use of feature extractors to produce low…
View article: Investigating the Impact of Perturbations in Chemical Processes on Data-Based Causality Analysis. Part 2: Testing Granger Causality and Transfer Entropy
Investigating the Impact of Perturbations in Chemical Processes on Data-Based Causality Analysis. Part 2: Testing Granger Causality and Transfer Entropy Open
In this two-part paper, the impact of perturbations generated by conditions typical to chemical processes is analysed. In the first part, causality analysis techniques intended for fault diagnosis are discussed in order to define the desir…
View article: Investigating the Impact of Perturbations in Chemical Processes on Data-Based Causality Analysis. Part 1: Defining Desired Performance of Causality Analysis Techniques
Investigating the Impact of Perturbations in Chemical Processes on Data-Based Causality Analysis. Part 1: Defining Desired Performance of Causality Analysis Techniques Open
In large-scale chemical and mineral processes, processing units are connected to each other through material flow, energy flow, or information flow (manifested by control loops). Data-based causality analysis may be may be employed to infe…
View article: Using Apparent Activation Energy as a Reactivity Criterion for Biomass Pyrolysis
Using Apparent Activation Energy as a Reactivity Criterion for Biomass Pyrolysis Open
The reactivity of\nchemically isolated lignocellulosic blocks, namely,\nα-cellulose, holocellulose, and lignin, has been rationalized\non the basis of the dependence of the effective activation energy\n(Eα) upon conversio…
View article: Fault detection for simulated valve faults in a high pressure leaching process
Fault detection for simulated valve faults in a high pressure leaching process Open
A simulation of a high pressure leaching process in a base metals refinery (BMR) is used to simulate fault conditions for two types of valve faults. The faults were modelled using empirical models fitted to actual process data from Western…
View article: Spiral Concentrator Interface Monitoring through Image Processing: Optimization for Parameter Selection
Spiral Concentrator Interface Monitoring through Image Processing: Optimization for Parameter Selection Open
Spiral concentrators are robust gravity separation devices that allow the concentration of slurry streams in terms of a desired mineral of interest. The optimal splitter position in a spiral concentrator is dependent on the interface posit…
View article: Application of Data-based Process Topology and Feature Extraction for Fault Diagnosis of an Industrial Platinum Group Metals Concentrator Plant
Application of Data-based Process Topology and Feature Extraction for Fault Diagnosis of an Industrial Platinum Group Metals Concentrator Plant Open
The development and application of a fault diagnosis methodology combining process topology and feature extraction to an industrial platinum group metals (PGM) concentrator plant is presented in this paper. Using the available historical p…