
Condition-Based Maintenance and Residual Life Prediction
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Condition-Based Maintenance and Residual Life Prediction 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.
Issues 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.
Condition-Based Maintenance and Residual Life Prediction 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.
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Persons
Chandan Deep Singh, PhD, is an assistant professor in the Department of Mechanical Engineering, Punjabi University, India. He has published over 58 books, six chapters, and 100 papers in various peer-reviewed international journals and conferences. Additionally, he serves as an editor and mentor and is currently working on four industry-sponsored projects.
Davinder Singh, PhD, is an assistant professor in the Department of Mechanical Engineering, India. He has published over 25 papers in various international journals and conferences and serves as a mentor for graduate and post-graduate students. His main research areas include production and industrial engineering, manufacturing technology, and innovation management.
Kanwal Jit Singh, PhD, is an associate professor in the Department of Mechanical Engineering, Guru Kashi University, India. He has published over 50 papers in various international journals and conferences and serves as a mentor to graduate and post-graduate students. His main research areas include production and industrial engineering, and ultrasonic machining.
Harleen Kaur, PhD, is an industry professional with over 11 years of experience currently working with Dr. Singh on an industry-sponsored project. She has published more than ten research papers in various international journals and conferences, three book chapters, and 20 books with international publishers.
Content
1 Maintenance 1
Harpreet Sharma, Chandan Deep Singh and Kanwal Jit Singh
1.1 Introduction and Meaning 1
1.2 Need for Maintenance 2
1.3 Importance of Maintenance 3
1.4 Objectives of Maintenance 3
1.5 The Role of the Maintenance Department 4
1.6 Responsibilities of a Maintenance Engineer 5
1.7 Principles of Maintenance 6
1.8 Maintenance Planning 8
1.9 Management Organization and Structures 10
1.10 Types of Maintenance (Figure 1.2) 12
1.10.1 Breakdown (Reactive) Maintenance 12
1.10.2 Preventive Maintenance 13
1.10.3 Predictive Maintenance 14
1.10.4 Corrective Maintenance 16
1.10.5 Condition-Based Maintenance 17
1.11 Economics of Maintenance 18
1.12 Maintenance Scheduling 19
1.13 Conclusion 20
References 21
2 Condition-Based Maintenance 23
Rajdeep Singh and Chandan Deep Singh
Introduction 23
Applications of Condition-Based Maintenance 31
Advantages and Disadvantages of Condition-Based Maintenance 39
Various PdM Techniques 39
References 44
3 Condition Monitoring 47
Harpreet Sharma, Chandan Deep Singh and Kanwal Jit Singh
3.1 Introduction and Meaning 47
3.2 Advantages of Condition Monitoring 51
3.3 Condition Monitoring Applications 53
3.4 Four Pillars of Condition Monitoring 53
3.5 Setting Up a Condition Monitoring (CM) Activity 55
3.6 Condition Monitoring Types 56
3.7 Condition Monitoring Techniques 58
3.8 Condition Monitoring and Predictive Maintenance: Cost-Benefit Tradeoffs 61
3.9 Conclusion 62
References 63
4 Advanced Maintenance Techniques 65
Davinder Singh and Talwinder Singh
4.1 Introduction 65
4.1.1 Challenge of Maintenance Function 66
4.2 Traditional Maintenance Techniques 67
4.2.1 Preventive Maintenance (PM) 67
4.2.2 Condition-Based Maintenance 69
4.2.3 Total Productive Maintenance (TPM) 70
4.2.4 Computerized Maintenance Management Systems (cmms) 72
4.2.5 Reliability-Centered Maintenance (RCM) 74
4.2.6 Predictive Maintenance 75
4.2.7 Risk-Based Maintenance (RBM) 76
4.2.8 Breakdown Maintenance (BM) 77
4.3 Advanced Maintenance Techniques 78
4.3.1 Intelligent Maintenance System (IMS) 78
4.3.2 Smart Maintenance 80
4.4 Conclusions 83
References 83
5 Unveiling the Future: Residual Life Prediction for Enhanced Asset Management 87
Maninder Singh, Mukhtiar Singh, Jasvinder Singh, Mandeep Singh and Harjit Singh
5.1 Introduction 88
5.1.1 Overview of the Key Challenges and Limitations in Accurate Estimation 89
5.1.2 Objectives of the Chapter 91
5.2 Residual Life Prediction Techniques 92
5.2.1 Prognostic Models 92
5.2.2 Statistical Approaches for Residual Life Prediction 93
5.2.3 Machine Learning Techniques for Residual Life Prediction 95
5.3 Applications of Residual Life Prediction 96
5.4 Conclusion 97
References 98
6 Analysis of Vibration 101
Rajdeep Singh and Chandan Deep Singh
Introduction 101
What is Vibration Analysis? 101
Vibration Analysis Methodology 102
Categories of Vibration Measurement 106
Vibration Analysis: Measurement Parameters 108
Vibration Analysis: Tools and Technology 110
Benefits of Continuous Vibration Monitoring 110
References 111
7 Modeling for Vibration 115
Rajdeep Singh and Chandan Deep Singh
7.1 Introduction 115
7.2 Modeling Techniques for Vibration Analysis 116
7.2.1 ANSYS Simulation 117
7.2.2 ABAQUS Simulation 119
7.2.3 HyperMesh OptiStruct Solver Simulation 119
7.2.4 COMSOL Simulation 121
7.2.5 Mathematical Modeling 123
7.2.5.1 MATLAB Simulation 123
7.2.5.2 Miscellaneous Techniques 124
7.3 Conclusions 126
References 127
8 Impact of Condition-Based Maintenance (CBM) and Residual Life Prediction (RLP) on Environmental Issues 131
Jasvinder Singh, Chandan Deep Singh and Dharmpal Deepak
8.1 Introduction 132
8.2 Goals of Condition-Based Maintenance 134
8.3 Maintenance Strategies 135
8.4 Determination of CBM Failure Point 137
8.4.1 Vibration Monitoring 137
8.4.2 Process-Parameter Monitoring 138
8.4.3 Thermography 138
8.4.4 Tribology 139
8.4.5 Visual Examination 140
8.5 Decision-Making in Condition-Based Maintenance 140
8.6 Decision Models for CBM 141
8.7 Proportional Hazards Modeling 143
8.8 Maintenance Planning and Scheduling 144
8.9 Maintenance Concepts and Strategies 146
8.9.1 Reliability-Centered Maintenance (RCM) 146
8.9.2 Equipment Failure Behavior 148
8.9.3 Condition-Based Maintenance (CBM) 148
8.9.4 Condition-Based Maintenance Plus (CBMp) 149
8.10 Condition-Based Maintenance (CBM) Technology Enablers 150
8.10.1 Diagnostics 150
8.10.2 Prognostics 150
8.10.3 Usage-Based Modeling 151
8.10.4 Data Mining in CBM 152
8.10.5 Artificial Intelligence in CBM 153
8.10.6 Open System Architecture-CBM (OSA-CBM) 153
8.11 Survey of Recent Developments in CBM 154
8.12 Application Areas of CBM 157
8.12.1 Automobiles 157
8.12.2 IT Infrastructure 159
8.12.3 Process/Manufacturing Industry 160
8.13 Open Research Challenges 160
8.13.1 Real-Time Prognostics 161
8.13.2 Data Quality: Preparation and Selection 161
8.14 Residual Life Prediction 162
8.15 Impact of Environmental Policies on Maintenance 162
8.15.1 Impact of Maintenance Practices 163
8.15.2 How to Reduce Maintenance Environmental Footprint Employing Sustainability-Focused Reliability Strategies 164
8.16 Conclusion 164
References 165
9 Sustainability Issues in Condition-Based Maintenance and Residual Life Prediction 171
Simranjit Singh Sidhu and Gurpreet Singh Sidhu
9.1 Introduction 172
9.2 Definition and Principles of CBM 174
9.2.1 Benefits and Potential of CBM 175
9.2.2 Sustainability Challenges in CBM 177
9.2.2.1 Data Management and Integration 177
9.2.2.2 Technological Advancements and Compatibility 177
9.2.2.3 Human Factors and Organizational Culture 177
9.2.2.4 Economic Viability and Return on Investment 178
9.2.3 Strategies for Enhancing CBM Sustainability 178
9.3 Residual Life Prediction (RLP) 179
9.3.1 Objectives and Applications of RLP 181
9.3.2 Challenges to Sustainability in RLP 182
9.3.2.1 Data Availability and Quality 182
9.3.2.2 Model Development and Validation 182
9.3.2.3 Variable Operating Conditions 182
9.3.2.4 Uncertainty and Confidence Estimation 182
9.3.3 Approaches for Ensuring RLP Sustainability 183
9.3.3.1 Data Collection and Management 183
9.3.3.2 Model Development and Validation 183
9.3.3.3 Integration with Maintenance Systems 183
9.3.3.4 Continuous Improvement and Adaptation 183
9.4 Synergies Between CBM and RLP 183
9.4.1 Challenges and Opportunities of Integration 184
9.4.2 Best Practices for Integration 185
9.4.2.1 Establish Data Integration Framework 185
9.4.2.2 Align Maintenance Strategies 185
9.4.2.3 Develop Advanced Analytical Models 185
9.4.2.4 Enhance Data Quality and Availability 185
9.4.2.5 Foster Collaboration and Knowledge Sharing 186
9.4.2.6 Continuous Monitoring and Improvement 186
9.4.2.7 Change Management and Stakeholder Engagement 186
9.4.2.8 Scalability and Flexibility 186
9.5 Conclusion and Recommendations 187
9.5.1 Key Findings 187
9.5.2 Recommendations for Policy and Practice 187
9.5.3 Future Research Directions 188
References 189
Bibliography 190
10 Role of CBM and RLP in the Performance of the Manufacturing Industry 191
Harpreet Sharma, Chandan Deep Singh and Kanwal Jit Singh
10.1 Introduction 192
10.2 What is Condition-Based Maintenance (CBM)? 194
10.2.1 Definition:- What Does Condition-Based Maintenance (CBM) Mean? 194
10.2.2 CBM Typically Involves the Following Steps 194
10.3 Types of Condition-Based Maintenance 195
10.4 When to Use Condition-Based Maintenance 197
10.5 Steps to Take Before Implementing Condition-Based Maintenance 198
10.6 Challenges of Condition-Based Maintenance 199
10.7 Benefits of Condition-Based Maintenance 200
10.8 Role of Condition-Based Maintenance (CBM) on the Performance of the Manufacturing Industry 201
10.9 Residual Life Prediction 202
10.10 Role of Residual Life Prediction on the Performance of the Manufacturing Industry 203
10.11 Conclusion 205
References 205
11 Impact of Competencies on Condition-Based Maintenance and Residual Life Prediction 207
Rajdeep Singh, Chandan Deep Singh and Talwinder Singh
11.1 Introduction 207
11.1.1 Concept of Condition-Based Maintenance 208
11.1.2 Decision-Making in CBM 210
11.1.2.1 CBM Decision Models 211
11.1.2.2 Proportional Hazards Modelling 212
11.2 Application Areas of CBM 212
11.2.1 Automobile Sector 213
11.2.2 IT Infrastructure 213
11.2.3 Process/Manufacturing Industry 213
11.3 Residual Life Prediction 214
11.3.1 Technical Approach 216
11.3.2 Future Needs and Critical Issues 218
11.4 Competency Framework 220
11.4.1 Competency Work Areas 221
11.4.2 Competency Effect on CMB and RLP 223
11.5 Conclusions 228
References 229
12 Sustainability Issues in CBM and RLP: Case Studies 233
Simranjit Singh Sidhu and Gurpreet Singh Sidhu
12.1 Medium Industry Case Study 234
12.2 Objectives of Implementing Maintenance Improvement Initiatives 235
12.3 Need for Maintenance 236
12.4 Phase-Wise Implementation of Maintenance Practices 237
12.4.1 Phase 1: Transition 237
12.4.2 Phase 2: Intermediate 243
12.4.3 Phase 3: Maturity 248
12.5 Small Industry Case Study 252
12.6 Research Methodology 253
12.7 Steps to Improve the Weaknesses Identified Through SWOT Analysis 255
12.8 Appropriate Measures Implemented for the Hydraulic Bending Machine 259
12.9 Results and Discussion 262
12.10 Conclusions 267
References 268
Index 273
1
Maintenance
Harpreet Sharma1*, Chandan Deep Singh2 and Kanwal Jit Singh3
1Yadavindra Department of Engineering, Guru Kashi Campus, Talwandi Sabo, Punjab, India
2Department of Mechanical Engineering, Punjabi University, Patiala, India
3School of Agriculture Sciences and Engineering, Maharaja Ranjit Singh Punjab Technical University, Bathinda, India
Abstract
In order to stay competitive, it is necessary for companies to continuously increase the effectiveness and efficiency of their production processes. Production strategies such as Justin-Time and Lean Production demand high availability of production equipment in order to meet customer satisfaction. Maintenance is a critical aspect of managing assets and ensuring their optimal performance and longevity. It involves a range of activities aimed at preserving, repairing, and optimizing equipment, systems, and infrastructure to minimize downtime, increase reliability, and reduce costs. This chapter provides an overview of maintenance practices, including preventive, corrective, and predictive maintenance, as well as their benefits and challenges.
Keywords: Preventive maintenance, corrective maintenance, routine maintenance, scheduled maintenance, predictive maintenance, breakdown maintenance
1.1 Introduction and Meaning
Past and current maintenance practices in both private and government sectors would imply that maintenance is the action associated with equipment repair after it is broken. The dictionary defines maintenance as "the work of keeping something in proper condition, upkeep." This would imply that maintenance should be actions taken to prevent a device or component from failing or to repair normal equipment degradation experienced with the operation of the device to keep it in proper working order. Data obtained in many studies over the past decade indicates that most private and government facilities do not expend the necessary resources to maintain equipment in proper working order. They wait for equipment failure to occur and then take whatever actions are necessary to repair or replace the equipment. Nothing lasts forever and all equipment has a predefined life expectancy or operational life associated with it.
1.2 Need for Maintenance
The need for maintenance is based on the actual or imminent failure. Ideally, maintenance is carried out to keep equipment and systems running efficiently during at least its usual life cycle (Lai et al., 2019). As such, the practical functioning of equipment is based on time. If you want to graphically represent the failure rate of a piece of equipment in relation to time, it is probable that the graphic will take the shape of a bathtub, such as the one shown in Figure 1.1, where the Y-axis represents the failure rate and the X-axis represents time. This curve can be divided into three periods: premature death, lifecycle, and exhaustion period.
The first period, the premature death, of the curve is characterized by a high rate of failure, followed by a decreasing failure period. Most of the failures related at this time are linked to bad design, bad installation, or wrong use. The premature death period is followed by a period with a nearly constant failure rate known as the lifecycle. There are many theories about why equipment fails in this time area. Most of them agree that poor preventive maintenance has often a key role. It is also generally agreed that exceptional practices related to predictive and preventive maintenance can extend this period. The exhaustion period is characterized by an increasing rate of failure. In most cases, this period includes a regular distribution of failures during the design life but in reverse (Jian et al., 2021).
Figure 1.1 Product failure rate.
The lifecycle of most equipment needs periodic maintenance. If we use the example of a car, we could say that filters must be changed, front-end alignment must be maintained, oil change and proper lubrication are needed, and so on. In some cases, certain pieces need to be replaced, for example, the timing belt, to ensure the proper functioning of the main piece of the equipment, in this particular case, the car, once its design life has ended. Each time we do not carry out the maintenance activities planned by the designer, we shorten the operational lifecycle of the equipment.
1.3 Importance of Maintenance
Operator and Machine Safety
By performing regular preventive maintenance, you will always be assured that your equipment will operate under safe conditions, both for the machine and the operators. Possible issues can be cut off before they cause any harm, without taking any chance.
Machine Efficiency
With normal wear and tear, machines can cause lower efficiency. Proper preventive maintenance management will assure you of the optimal working conditions of the equipment and, moreover, conserve its life span.
Time Savings
Planned preventive maintenance management will reduce the actual downtime caused by the breakdown and further enhance the products in less time, thereby saving a lot of time. Preventive maintenance will consume less time than emergency repairs and replacements.
1.4 Objectives of Maintenance
Equipment is an important resource that is constantly used for adding value to products. So, it must be kept in the best operating condition. Otherwise, there will be excessive downtime and also interruption of production if it is used in a mass production line. Poor working conditions of equipment will lead to quality-related problems. Hence, it is an absolute necessity to maintain equipment in good operating conditions at an economical cost. Hence, we need an integrated approach to minimize the cost of maintenance. In certain cases, the equipment will be obsolete over a period of time. If a firm wants to be in the same business competitively, it has to decide on whether to replace the equipment or retain the old equipment by taking the cost of maintenance and operation into account (Stone et al., 2020).
1.5 The Role of the Maintenance Department
Responsibilities of a Maintenance Department
- Engineering and execution of planned maintenance: The responsibility for the continued economical use of the equipment lies with the operating supervisor. It is, however, the responsibility of the maintenance staff, in cooperation with the operating supervisors to organize preventive maintenance schedules and improve the equipment efficiency necessary to meet the production schedule requirements.
- Generation and distribution of power and other utilities: The power engineer is responsible for the generation and distribution of utilities like steam and compressed air in suitable quantities, as well as the purchase and distribution of electrical power, water, etc., at minimum cost.
- Stand-by power generation: Apart from purchasing electric power from electricity board (EB), if a stand-by diesel generator is available in the factory, the maintenance staff would be responsible for operating this generator and supplying sufficient power during power outages.
- Administrative and staffing: To handle mechanical work involved in carrying out the functions of the maintenance department, an adequate skilled labor force, provided with suitable equipment and proper supervision, is necessary. The type and size of this group are determined based on a balance between the costs of establishing and maintaining the group versus the cost of contracting for the maintenance work to outside firms, considering the factor of emergency and round-the-clock service. It is the responsibility of the head of the maintenance department to plan and coordinate work distribution among the crafts and to organize and carry out programs for the training of the supervisors and craftsmen.
- Engineering and supervision of construction projects within the scope of the group: Maintenance engineering is a definite part of the preliminary and final design of construction projects. It is the responsibility of the maintenance group to be familiar with all the projects under consideration or execution that will eventually become a part of the plant.
- Technical consultation: The maintenance engineer would act as a consultant to the production department in solving the mechanical problem of the equipment.
- Plant safety activities and equipment: The provision and control of all safety equipment, their maintenance, and monitoring for the general observance of plant safety practices by all workforces in the plant, would be the responsibility of the maintenance department.
- Plant insurance: Strategies for securing plant insurance and ensuring the preservation of all critical data and documents, as well as taking the necessary action in the event of accidents.
- Service facilities: Engineering, administration, and maintenance of various service facilities delegated to the departments like yards, roadways, washing rooms, sewers and waste disposal sections, and employee welfare services within the budgets provided by the management.
- Maintenance of plant and equipment records: Maintaining the property and all relevant records of all plant and equipment required for the annual accounts and audit.
- Meticulous breakdown record-keeping for future maintenance planning: Keeping the breakdown record for each and every piece of machinery and equipment meticulously as required for future maintenance...
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