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Preface; Organization; Contents; Sesion Separator "Intelligent Systems in Maintenance"; A Concept of an IT Tool for Supporting Knowledge Transfer Among Facility Maintenance Employees as Pa ...; Abstract; 1 Introduction; 2 General Outline of the Proposed Tool's Functionality; 3 Database Structure; 4 Summary; Acknowledgements; References; An Intelligent System Supporting a Forklifts Maintenance Process; Abstract; 1 Introduction; 2 A Case Study; 2.1 Structure of Forklifts Classification; 2.2 Analyses of the Frequency of Maintenance Activities; 2.3 Fuzzy Logic in Support of FoMT Determination
2.4 Analysis, Results and Discussion3 Conclusions; References; An Intelligent System Supporting a Maintenance Process of Specialised Medical Equipment; Abstract; 1 Introduction; 2 Analysis of the Data Concerning Medical Equipment Failures; 3 Risk of Failures Assessment; 3.1 Fuzzy Interference Process; 3.2 Parameters for the Proposed FIS; 3.3 Analysis, Results and Discussion; 4 Conclusions; References; Enabling Round-Trip Engineering Between P&I Diagrams and Augmented Reality Work Instructions in Main ...; Abstract; 1 Introduction; 2 Aims and Requirements; 3 Concept
4 Prototype Implementation and Validation5 Conclusion; References; Incident Detection in Industrial Processes Utilizing Machine Learning Techniques; Abstract; 1 Introduction; 2 Classification Methods
Machine Learning Algorithms; 2.1 Support Vector Machines (SVM); 2.1.1 Radial Basis Function (RBF) Kernel; 2.1.2 Polynomial Function (POLY) Kernel; 2.2 Naive-Bayes (NB); 2.3 Logistic Regression (LR); 2.4 Decision Trees (DT); 2.5 Random Forest (RF); 2.6 Adaptive Boosting (AdaBoost); 3 Evaluation Measures
Boosting Algorithm; 4 Setup of the Fault Detection Analysis Method; 4.1 Data Pre-processing
4.2 Labeling4.3 Monte Carlo Simulation
Cross-Validation; 4.3.1 Support Vector Machines; 4.3.2 Decision Trees
Random Forests; 4.3.3 Naive Bayes
Logistic Regression; 4.3.4 Adaptive Boosting Algorithm; 4.4 Simulation Results; 5 Conclusions; Acknowledgement; References; Intelligent Systems of Forecasting the Failure of Machinery Park and Supporting Fulfilment of Orders ...; Abstract; 1 Among the Source Development Factors Contributing to the Definition of the Currently Developing Co ...; 2 Internet of Things and Cyber-Physical Systems in the Industrial Plants
3 Algorithm of Prediction of Failure with the Use of CPPS and IIoT4 Example Application of an Algorithm; 5 Summary and Conclusions; References; SmartMaintenance
The Concept of Supporting the Exploitation Decision-Making Process in the Selecte ...; Abstract; 1 Introduction; 2 The Assumptions of the SmartMaintenance Concept; 3 Computer-Aided Under the SmartMaintenance Concept; 4 Computer-Aided Under the SmartMaintenance Concept
Case Study; 4.1 The Multi-model of the Technical Network System; 4.2 The Taxonomic Model of the Assessment of the Exploitation Policy
2.4 Analysis, Results and Discussion3 Conclusions; References; An Intelligent System Supporting a Maintenance Process of Specialised Medical Equipment; Abstract; 1 Introduction; 2 Analysis of the Data Concerning Medical Equipment Failures; 3 Risk of Failures Assessment; 3.1 Fuzzy Interference Process; 3.2 Parameters for the Proposed FIS; 3.3 Analysis, Results and Discussion; 4 Conclusions; References; Enabling Round-Trip Engineering Between P&I Diagrams and Augmented Reality Work Instructions in Main ...; Abstract; 1 Introduction; 2 Aims and Requirements; 3 Concept
4 Prototype Implementation and Validation5 Conclusion; References; Incident Detection in Industrial Processes Utilizing Machine Learning Techniques; Abstract; 1 Introduction; 2 Classification Methods
Machine Learning Algorithms; 2.1 Support Vector Machines (SVM); 2.1.1 Radial Basis Function (RBF) Kernel; 2.1.2 Polynomial Function (POLY) Kernel; 2.2 Naive-Bayes (NB); 2.3 Logistic Regression (LR); 2.4 Decision Trees (DT); 2.5 Random Forest (RF); 2.6 Adaptive Boosting (AdaBoost); 3 Evaluation Measures
Boosting Algorithm; 4 Setup of the Fault Detection Analysis Method; 4.1 Data Pre-processing
4.2 Labeling4.3 Monte Carlo Simulation
Cross-Validation; 4.3.1 Support Vector Machines; 4.3.2 Decision Trees
Random Forests; 4.3.3 Naive Bayes
Logistic Regression; 4.3.4 Adaptive Boosting Algorithm; 4.4 Simulation Results; 5 Conclusions; Acknowledgement; References; Intelligent Systems of Forecasting the Failure of Machinery Park and Supporting Fulfilment of Orders ...; Abstract; 1 Among the Source Development Factors Contributing to the Definition of the Currently Developing Co ...; 2 Internet of Things and Cyber-Physical Systems in the Industrial Plants
3 Algorithm of Prediction of Failure with the Use of CPPS and IIoT4 Example Application of an Algorithm; 5 Summary and Conclusions; References; SmartMaintenance
The Concept of Supporting the Exploitation Decision-Making Process in the Selecte ...; Abstract; 1 Introduction; 2 The Assumptions of the SmartMaintenance Concept; 3 Computer-Aided Under the SmartMaintenance Concept; 4 Computer-Aided Under the SmartMaintenance Concept
Case Study; 4.1 The Multi-model of the Technical Network System; 4.2 The Taxonomic Model of the Assessment of the Exploitation Policy