{"product_id":"condition-based-maintenance-and-residual-life-prediction-hardback-9781119933120","title":"Condition-Based Maintenance and Residual Life Prediction (Hardback) 9781119933120","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eCondition-Based Maintenance and Residual Life Prediction\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eChandan Deep Singh (Edited by), Singh (Author), Davinder Singh (Edited by), Kanwal Jit Singh (Edited by), Harleen Kaur (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119933120, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e304 pages\u003cbr\u003e22.9 x 15.2 x 2 cm, 0.509 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003eCondition-Based Maintenance and Residual Life Prediction\u003c\/b\u003e\u003c\/i\u003e is essential for those looking to effectively implement condition-based maintenance strategies and enhance fault detection through a comprehensive understanding of vibration data analysis and residual life prediction, addressing key challenges in the field. \u003c\/p\u003e\n\u003cp\u003eIssues related to condition-based maintenance include its high initial cost, new techniques that can be difficult to implement due to resistance, older equipment that can be difficult to retrofit with sensors and monitoring equipment, and difficult-to-access equipment during production that is difficult to spot-measure. Keeping the above issues in mind, a general handbook for condition-based maintenance and residual life prediction is required to carry out in fault detection. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eCondition-Based Maintenance and Residual Life Prediction\u003c\/i\u003e aims to develop, analyze, and model condition-based maintenance and residual life prediction through vibration data. The analysis of vibration responses will aid in developing a fault detection system. The sources of vibration may be due to the presence of different types of defects, such as cracks in the shaft, a bent shaft, or misalignment of shafts. This will give designers a diagnostic tool for predicting the trends of vibration conditions, leading to early fault detection. The devised tool will be capable of quantifying the amplitude of vibration based on the severity of defects. With the features available in the devised diagnostic tool, the proposed model can be used for design, predictive maintenance, and condition-based maintenance.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003e1 Maintenance 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarpreet Sharma, Chandan Deep Singh and Kanwal Jit Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction and Meaning 1\u003c\/p\u003e \u003cp\u003e1.2 Need for Maintenance 2\u003c\/p\u003e \u003cp\u003e1.3 Importance of Maintenance 3\u003c\/p\u003e \u003cp\u003e1.4 Objectives of Maintenance 3\u003c\/p\u003e \u003cp\u003e1.5 The Role of the Maintenance Department 4\u003c\/p\u003e \u003cp\u003e1.6 Responsibilities of a Maintenance Engineer 5\u003c\/p\u003e \u003cp\u003e1.7 Principles of Maintenance 6\u003c\/p\u003e \u003cp\u003e1.8 Maintenance Planning 8\u003c\/p\u003e \u003cp\u003e1.9 Management Organization and Structures 10\u003c\/p\u003e \u003cp\u003e1.10 Types of Maintenance (Figure 1.2) 12\u003c\/p\u003e \u003cp\u003e1.10.1 Breakdown (Reactive) Maintenance 12\u003c\/p\u003e \u003cp\u003e1.10.2 Preventive Maintenance 13\u003c\/p\u003e \u003cp\u003e1.10.3 Predictive Maintenance 14\u003c\/p\u003e \u003cp\u003e1.10.4 Corrective Maintenance 16\u003c\/p\u003e \u003cp\u003e1.10.5 Condition-Based Maintenance 17\u003c\/p\u003e \u003cp\u003e1.11 Economics of Maintenance 18\u003c\/p\u003e \u003cp\u003e1.12 Maintenance Scheduling 19\u003c\/p\u003e \u003cp\u003e1.13 Conclusion 20\u003c\/p\u003e \u003cp\u003eReferences 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Condition-Based Maintenance 23\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRajdeep Singh and Chandan Deep Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 23\u003c\/p\u003e \u003cp\u003eApplications of Condition-Based Maintenance 31\u003c\/p\u003e \u003cp\u003eAdvantages and Disadvantages of Condition-Based Maintenance 39\u003c\/p\u003e \u003cp\u003eVarious PdM Techniques 39\u003c\/p\u003e \u003cp\u003eReferences 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Condition Monitoring 47\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarpreet Sharma, Chandan Deep Singh and Kanwal Jit Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction and Meaning 47\u003c\/p\u003e \u003cp\u003e3.2 Advantages of Condition Monitoring 51\u003c\/p\u003e \u003cp\u003e3.3 Condition Monitoring Applications 53\u003c\/p\u003e \u003cp\u003e3.4 Four Pillars of Condition Monitoring 53\u003c\/p\u003e \u003cp\u003e3.5 Setting Up a Condition Monitoring (CM) Activity 55\u003c\/p\u003e \u003cp\u003e3.6 Condition Monitoring Types 56\u003c\/p\u003e \u003cp\u003e3.7 Condition Monitoring Techniques 58\u003c\/p\u003e \u003cp\u003e3.8 Condition Monitoring and Predictive Maintenance: Cost-Benefit Tradeoffs 61\u003c\/p\u003e \u003cp\u003e3.9 Conclusion 62\u003c\/p\u003e \u003cp\u003eReferences 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Advanced Maintenance Techniques 65\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDavinder Singh and Talwinder Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 65\u003c\/p\u003e \u003cp\u003e4.1.1 Challenge of Maintenance Function 66\u003c\/p\u003e \u003cp\u003e4.2 Traditional Maintenance Techniques 67\u003c\/p\u003e \u003cp\u003e4.2.1 Preventive Maintenance (PM) 67\u003c\/p\u003e \u003cp\u003e4.2.2 Condition-Based Maintenance 69\u003c\/p\u003e \u003cp\u003e4.2.3 Total Productive Maintenance (TPM) 70\u003c\/p\u003e \u003cp\u003e4.2.4 Computerized Maintenance Management Systems (cmms) 72\u003c\/p\u003e \u003cp\u003e4.2.5 Reliability-Centered Maintenance (RCM) 74\u003c\/p\u003e \u003cp\u003e4.2.6 Predictive Maintenance 75\u003c\/p\u003e \u003cp\u003e4.2.7 Risk-Based Maintenance (RBM) 76\u003c\/p\u003e \u003cp\u003e4.2.8 Breakdown Maintenance (BM) 77\u003c\/p\u003e \u003cp\u003e4.3 Advanced Maintenance Techniques 78\u003c\/p\u003e \u003cp\u003e4.3.1 Intelligent Maintenance System (IMS) 78\u003c\/p\u003e \u003cp\u003e4.3.2 Smart Maintenance 80\u003c\/p\u003e \u003cp\u003e4.4 Conclusions 83\u003c\/p\u003e \u003cp\u003eReferences 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Unveiling the Future: Residual Life Prediction for Enhanced Asset Management 87\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eManinder Singh, Mukhtiar Singh, Jasvinder Singh, Mandeep Singh and Harjit Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 88\u003c\/p\u003e \u003cp\u003e5.1.1 Overview of the Key Challenges and Limitations in Accurate Estimation 89\u003c\/p\u003e \u003cp\u003e5.1.2 Objectives of the Chapter 91\u003c\/p\u003e \u003cp\u003e5.2 Residual Life Prediction Techniques 92\u003c\/p\u003e \u003cp\u003e5.2.1 Prognostic Models 92\u003c\/p\u003e \u003cp\u003e5.2.2 Statistical Approaches for Residual Life Prediction 93\u003c\/p\u003e \u003cp\u003e5.2.3 Machine Learning Techniques for Residual Life Prediction 95\u003c\/p\u003e \u003cp\u003e5.3 Applications of Residual Life Prediction 96\u003c\/p\u003e \u003cp\u003e5.4 Conclusion 97\u003c\/p\u003e \u003cp\u003eReferences 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Analysis of Vibration 101\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRajdeep Singh and Chandan Deep Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction 101\u003c\/p\u003e \u003cp\u003eWhat is Vibration Analysis? 101\u003c\/p\u003e \u003cp\u003eVibration Analysis Methodology 102\u003c\/p\u003e \u003cp\u003eCategories of Vibration Measurement 106\u003c\/p\u003e \u003cp\u003eVibration Analysis: Measurement Parameters 108\u003c\/p\u003e \u003cp\u003eVibration Analysis: Tools and Technology 110\u003c\/p\u003e \u003cp\u003eBenefits of Continuous Vibration Monitoring 110\u003c\/p\u003e \u003cp\u003eReferences 111\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Modeling for Vibration 115\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRajdeep Singh and Chandan Deep Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 115\u003c\/p\u003e \u003cp\u003e7.2 Modeling Techniques for Vibration Analysis 116\u003c\/p\u003e \u003cp\u003e7.2.1 ANSYS Simulation 117\u003c\/p\u003e \u003cp\u003e7.2.2 ABAQUS Simulation 119\u003c\/p\u003e \u003cp\u003e7.2.3 HyperMesh OptiStruct Solver Simulation 119\u003c\/p\u003e \u003cp\u003e7.2.4 COMSOL Simulation 121\u003c\/p\u003e \u003cp\u003e7.2.5 Mathematical Modeling 123\u003c\/p\u003e \u003cp\u003e7.2.5.1 MATLAB Simulation 123\u003c\/p\u003e \u003cp\u003e7.2.5.2 Miscellaneous Techniques 124\u003c\/p\u003e \u003cp\u003e7.3 Conclusions 126\u003c\/p\u003e \u003cp\u003eReferences 127\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Impact of Condition-Based Maintenance (CBM) and Residual Life Prediction (RLP) on Environmental Issues 131\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJasvinder Singh, Chandan Deep Singh and Dharmpal Deepak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 132\u003c\/p\u003e \u003cp\u003e8.2 Goals of Condition-Based Maintenance 134\u003c\/p\u003e \u003cp\u003e8.3 Maintenance Strategies 135\u003c\/p\u003e \u003cp\u003e8.4 Determination of CBM Failure Point 137\u003c\/p\u003e \u003cp\u003e8.4.1 Vibration Monitoring 137\u003c\/p\u003e \u003cp\u003e8.4.2 Process-Parameter Monitoring 138\u003c\/p\u003e \u003cp\u003e8.4.3 Thermography 138\u003c\/p\u003e \u003cp\u003e8.4.4 Tribology 139\u003c\/p\u003e \u003cp\u003e8.4.5 Visual Examination 140\u003c\/p\u003e \u003cp\u003e8.5 Decision-Making in Condition-Based Maintenance 140\u003c\/p\u003e \u003cp\u003e8.6 Decision Models for CBM 141\u003c\/p\u003e \u003cp\u003e8.7 Proportional Hazards Modeling 143\u003c\/p\u003e \u003cp\u003e8.8 Maintenance Planning and Scheduling 144\u003c\/p\u003e \u003cp\u003e8.9 Maintenance Concepts and Strategies 146\u003c\/p\u003e \u003cp\u003e8.9.1 Reliability-Centered Maintenance (RCM) 146\u003c\/p\u003e \u003cp\u003e8.9.2 Equipment Failure Behavior 148\u003c\/p\u003e \u003cp\u003e8.9.3 Condition-Based Maintenance (CBM) 148\u003c\/p\u003e \u003cp\u003e8.9.4 Condition-Based Maintenance Plus (CBMp) 149\u003c\/p\u003e \u003cp\u003e8.10 Condition-Based Maintenance (CBM) Technology Enablers 150\u003c\/p\u003e \u003cp\u003e8.10.1 Diagnostics 150\u003c\/p\u003e \u003cp\u003e8.10.2 Prognostics 150\u003c\/p\u003e \u003cp\u003e8.10.3 Usage-Based Modeling 151\u003c\/p\u003e \u003cp\u003e8.10.4 Data Mining in CBM 152\u003c\/p\u003e \u003cp\u003e8.10.5 Artificial Intelligence in CBM 153\u003c\/p\u003e \u003cp\u003e8.10.6 Open System Architecture-CBM (OSA-CBM) 153\u003c\/p\u003e \u003cp\u003e8.11 Survey of Recent Developments in CBM 154\u003c\/p\u003e \u003cp\u003e8.12 Application Areas of CBM 157\u003c\/p\u003e \u003cp\u003e8.12.1 Automobiles 157\u003c\/p\u003e \u003cp\u003e8.12.2 IT Infrastructure 159\u003c\/p\u003e \u003cp\u003e8.12.3 Process\/Manufacturing Industry 160\u003c\/p\u003e \u003cp\u003e8.13 Open Research Challenges 160\u003c\/p\u003e \u003cp\u003e8.13.1 Real-Time Prognostics 161\u003c\/p\u003e \u003cp\u003e8.13.2 Data Quality: Preparation and Selection 161\u003c\/p\u003e \u003cp\u003e8.14 Residual Life Prediction 162\u003c\/p\u003e \u003cp\u003e8.15 Impact of Environmental Policies on Maintenance 162\u003c\/p\u003e \u003cp\u003e8.15.1 Impact of Maintenance Practices 163\u003c\/p\u003e \u003cp\u003e8.15.2 How to Reduce Maintenance Environmental Footprint Employing Sustainability-Focused Reliability Strategies 164\u003c\/p\u003e \u003cp\u003e8.16 Conclusion 164\u003c\/p\u003e \u003cp\u003eReferences 165\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Sustainability Issues in Condition-Based Maintenance and Residual Life Prediction 171\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSimranjit Singh Sidhu and Gurpreet Singh Sidhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 172\u003c\/p\u003e \u003cp\u003e9.2 Definition and Principles of CBM 174\u003c\/p\u003e \u003cp\u003e9.2.1 Benefits and Potential of CBM 175\u003c\/p\u003e \u003cp\u003e9.2.2 Sustainability Challenges in CBM 177\u003c\/p\u003e \u003cp\u003e9.2.2.1 Data Management and Integration 177\u003c\/p\u003e \u003cp\u003e9.2.2.2 Technological Advancements and Compatibility 177\u003c\/p\u003e \u003cp\u003e9.2.2.3 Human Factors and Organizational Culture 177\u003c\/p\u003e \u003cp\u003e9.2.2.4 Economic Viability and Return on Investment 178\u003c\/p\u003e \u003cp\u003e9.2.3 Strategies for Enhancing CBM Sustainability 178\u003c\/p\u003e \u003cp\u003e9.3 Residual Life Prediction (RLP) 179\u003c\/p\u003e \u003cp\u003e9.3.1 Objectives and Applications of RLP 181\u003c\/p\u003e \u003cp\u003e9.3.2 Challenges to Sustainability in RLP 182\u003c\/p\u003e \u003cp\u003e9.3.2.1 Data Availability and Quality 182\u003c\/p\u003e \u003cp\u003e9.3.2.2 Model Development and Validation 182\u003c\/p\u003e \u003cp\u003e9.3.2.3 Variable Operating Conditions 182\u003c\/p\u003e \u003cp\u003e9.3.2.4 Uncertainty and Confidence Estimation 182\u003c\/p\u003e \u003cp\u003e9.3.3 Approaches for Ensuring RLP Sustainability 183\u003c\/p\u003e \u003cp\u003e9.3.3.1 Data Collection and Management 183\u003c\/p\u003e \u003cp\u003e9.3.3.2 Model Development and Validation 183\u003c\/p\u003e \u003cp\u003e9.3.3.3 Integration with Maintenance Systems 183\u003c\/p\u003e \u003cp\u003e9.3.3.4 Continuous Improvement and Adaptation 183\u003c\/p\u003e \u003cp\u003e9.4 Synergies Between CBM and RLP 183\u003c\/p\u003e \u003cp\u003e9.4.1 Challenges and Opportunities of Integration 184\u003c\/p\u003e \u003cp\u003e9.4.2 Best Practices for Integration 185\u003c\/p\u003e \u003cp\u003e9.4.2.1 Establish Data Integration Framework 185\u003c\/p\u003e \u003cp\u003e9.4.2.2 Align Maintenance Strategies 185\u003c\/p\u003e \u003cp\u003e9.4.2.3 Develop Advanced Analytical Models 185\u003c\/p\u003e \u003cp\u003e9.4.2.4 Enhance Data Quality and Availability 185\u003c\/p\u003e \u003cp\u003e9.4.2.5 Foster Collaboration and Knowledge Sharing 186\u003c\/p\u003e \u003cp\u003e9.4.2.6 Continuous Monitoring and Improvement 186\u003c\/p\u003e \u003cp\u003e9.4.2.7 Change Management and Stakeholder Engagement 186\u003c\/p\u003e \u003cp\u003e9.4.2.8 Scalability and Flexibility 186\u003c\/p\u003e \u003cp\u003e9.5 Conclusion and Recommendations 187\u003c\/p\u003e \u003cp\u003e9.5.1 Key Findings 187\u003c\/p\u003e \u003cp\u003e9.5.2 Recommendations for Policy and Practice 187\u003c\/p\u003e \u003cp\u003e9.5.3 Future Research Directions 188\u003c\/p\u003e \u003cp\u003eReferences 189\u003c\/p\u003e \u003cp\u003eBibliography 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Role of CBM and RLP in the Performance of the Manufacturing Industry 191\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarpreet Sharma, Chandan Deep Singh and Kanwal Jit Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 192\u003c\/p\u003e \u003cp\u003e10.2 What is Condition-Based Maintenance (CBM)? 194\u003c\/p\u003e \u003cp\u003e10.2.1 Definition:– What Does Condition-Based Maintenance (CBM) Mean? 194\u003c\/p\u003e \u003cp\u003e10.2.2 CBM Typically Involves the Following Steps 194\u003c\/p\u003e \u003cp\u003e10.3 Types of Condition-Based Maintenance 195\u003c\/p\u003e \u003cp\u003e10.4 When to Use Condition-Based Maintenance 197\u003c\/p\u003e \u003cp\u003e10.5 Steps to Take Before Implementing Condition-Based Maintenance 198\u003c\/p\u003e \u003cp\u003e10.6 Challenges of Condition-Based Maintenance 199\u003c\/p\u003e \u003cp\u003e10.7 Benefits of Condition-Based Maintenance 200\u003c\/p\u003e \u003cp\u003e10.8 Role of Condition-Based Maintenance (CBM) on the Performance of the Manufacturing Industry 201\u003c\/p\u003e \u003cp\u003e10.9 Residual Life Prediction 202\u003c\/p\u003e \u003cp\u003e10.10 Role of Residual Life Prediction on the Performance of the Manufacturing Industry 203\u003c\/p\u003e \u003cp\u003e10.11 Conclusion 205\u003c\/p\u003e \u003cp\u003eReferences 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Impact of Competencies on Condition-Based Maintenance and Residual Life Prediction 207\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRajdeep Singh, Chandan Deep Singh and Talwinder Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 207\u003c\/p\u003e \u003cp\u003e11.1.1 Concept of Condition-Based Maintenance 208\u003c\/p\u003e \u003cp\u003e11.1.2 Decision-Making in CBM 210\u003c\/p\u003e \u003cp\u003e11.1.2.1 CBM Decision Models 211\u003c\/p\u003e \u003cp\u003e11.1.2.2 Proportional Hazards Modelling 212\u003c\/p\u003e \u003cp\u003e11.2 Application Areas of CBM 212\u003c\/p\u003e \u003cp\u003e11.2.1 Automobile Sector 213\u003c\/p\u003e \u003cp\u003e11.2.2 IT Infrastructure 213\u003c\/p\u003e \u003cp\u003e11.2.3 Process\/Manufacturing Industry 213\u003c\/p\u003e \u003cp\u003e11.3 Residual Life Prediction 214\u003c\/p\u003e \u003cp\u003e11.3.1 Technical Approach 216\u003c\/p\u003e \u003cp\u003e11.3.2 Future Needs and Critical Issues 218\u003c\/p\u003e \u003cp\u003e11.4 Competency Framework 220\u003c\/p\u003e \u003cp\u003e11.4.1 Competency Work Areas 221\u003c\/p\u003e \u003cp\u003e11.4.2 Competency Effect on CMB and RLP 223\u003c\/p\u003e \u003cp\u003e11.5 Conclusions 228\u003c\/p\u003e \u003cp\u003eReferences 229\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Sustainability Issues in CBM and RLP: Case Studies 233\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSimranjit Singh Sidhu and Gurpreet Singh Sidhu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Medium Industry Case Study 234\u003c\/p\u003e \u003cp\u003e12.2 Objectives of Implementing Maintenance Improvement Initiatives 235\u003c\/p\u003e \u003cp\u003e12.3 Need for Maintenance 236\u003c\/p\u003e \u003cp\u003e12.4 Phase–Wise Implementation of Maintenance Practices 237\u003c\/p\u003e \u003cp\u003e12.4.1 Phase 1: Transition 237\u003c\/p\u003e \u003cp\u003e12.4.2 Phase 2: Intermediate 243\u003c\/p\u003e \u003cp\u003e12.4.3 Phase 3: Maturity 248\u003c\/p\u003e \u003cp\u003e12.5 Small Industry Case Study 252\u003c\/p\u003e \u003cp\u003e12.6 Research Methodology 253\u003c\/p\u003e \u003cp\u003e12.7 Steps to Improve the Weaknesses Identified Through SWOT Analysis 255\u003c\/p\u003e \u003cp\u003e12.8 Appropriate Measures Implemented for the Hydraulic Bending Machine 259\u003c\/p\u003e \u003cp\u003e12.9 Results and Discussion 262\u003c\/p\u003e \u003cp\u003e12.10 Conclusions 267\u003c\/p\u003e \u003cp\u003eReferences 268\u003c\/p\u003e \u003cp\u003eIndex 273\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mechanical engineering \u0026amp; materials [\u003ca title=\"See our other books on Mechanical engineering \u0026amp; materials\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mechanical%20engineering%20\u0026amp;%20materials%20%5BTG%5D%22\"\u003eTG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52431012725016,"sku":"9781119933120","price":156.85,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119933120.jpg?v=1784768572","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/condition-based-maintenance-and-residual-life-prediction-hardback-9781119933120","provider":"Freshly Printed Books","version":"1.0","type":"link"}