Soft modeling in industrial manufacturing. ([2019])

• Record Type: Book
• Further Information: Note: Przemyslaw Grzegorzewski, Andrzej Kochanski, Janusz Kacprzyk, editors.
• Editors: Grzegorzewski, Przemysław; Kochanski, Andrzej; Kacprzyk, Janusz
• Contents: Intro; Contents; Introduction; Theory; Data and Modeling in Industrial Manufacturing; 1 Reality and Modeling; 2 Specificity of Industrial Data; 3 Hard and Soft Modeling in Engineering; 3.1 General Remarks; 3.2 Hard (Constitutive) Modeling; 3.3 Soft (Empirical) Modeling; 3.4 Summary; References; From Data to Reasoning; 1 DIKW Hierarchy; 2 Data Versus Information; 3 Uncertainty; 4 Three Types of Reasoning; References; Data Preprocessing in Industrial Manufacturing; 1 Data Analysis Structure; 2 Data Quality: Datum Quality Or Database Quality?; 3 A Taxonomy and Overview of Data Preparation 3.1 General Remarks3.2 An Overview of Data Preparation; 3.3 A Taxonomy of Data Preparation; 3.4 Data Preparation Tasks; References; Applications; Tool Condition Monitoring in Metal Cutting; 1 Introduction; 2 Signal Preprocessing; 3 Signal Feature Extraction; 3.1 Time Domain Signal Features; 3.2 Frequency and Time-Frequency Domain Signal Features; 4 Signal Feature Selection; 5 Decision Making Algorithms; 6 Case Study; References; Assessment of Selected Tools Used for Knowledge Extraction in Industrial Manufacturing; 1 Introduction 2 Requirements for Knowledge Rules Applicable for Industrial Processes3 Characteristic Behavior of DTs and RST in Rules Extraction; 4 Significance of DTs' Drawbacks Used as Rules Extraction Systems; 4.1 Methodology; 4.2 Results; 5 Summary and Conclusion; References; Application of Data Mining Tools in Shrink Sleeve Labels Converting Process; 1 Shrink Sleeve Label Manufacturing Process; 2 Winding Quality Issue; 3 Input and Output Variables; 4 Predictors Analysis; 5 Prediction Effects with Data Mining Tools; 5.1 Artificial Neural Networks Models; 5.2 Data Miner Recipes Models 6 Idea for Application of Data Mining Tools in Manufacturing Process7 Conclusions; References; Study of Thickness Variability of the Floorboard Surface Layer; 1 Introduction; 2 Study of Variability of the Floorboard Surface Layer Thickness; 2.1 Wood Industry; 2.2 Timber, Waste of Raw Material; 2.3 The Manufacturing Process of Multilayer Floorboards; 2.4 Methodology; 3 Conclusions; References; Applying Statistical Methods with Imprecise Data to Quality Control in Cheese Manufacturing; 1 Introduction; 2 Preliminary Concepts; 2.1 Collecting the Data 3 Construction of the Summary Measure of the Opinions of the Tasters3.1 Application to the Case Study; 4 Hypothesis Testing Procedures Applied to the Quality Control of the Cheese; 4.1 Application to the Case Study; 5 Conclusions and Open Problems; References; Monitoring Series of Dependent Observations Using the sXWAM Control Chart for Residuals; 1 Introduction; 2 Shewhart X Chart for Residuals; 3 XWAM Control Chart for Residuals and Its sXWAM Modification; 4 Properties of the sXWAM Chart-Numerical Experiments; 5 Conclusions; References Diagnosis of Out-of-Control Signals in Complex Manufacturing Processes
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 670.427; Manufacturing processes -- Mathematical models; Electronic books
• Languages: English
• ISBNs: 9783030032012; 3030032019
• Related ISBNs: 3030032000; 9783030032005
• Notes: Note: Description based on online resource; title from digital title page (viewed on February 12, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.