An Implementation of Risk Based Inspection for Elevator Optimum Maintenance
- Abstract
- This dissertation presents an investigation of risk management, elevator risk assessment and reduction methodology, elevator fault analysis and life cycle assessment based on studying and surveying about the elevator component replacement life cycle. It also provides the elevator performance management development as well as elevator evaluation criteria to apply the condition prognosis and the inspection/maintenance. The risk management by RBI method gives the proposed guidance for optimal risk-based inspection/maintenance.
Elevator maintenance is very important to decide the best solution of the management about the inspection periodic, replacement time and evaluation method. The fault feature of elevator is obtained from studying, diagnosing and surveying the elevator component cycle assessment in the site.
The replacement life cycle of elevator component was surveyed through the elevator maker and the maintenance company, also the design cycle life was studied through the literature and maker design documents. The replacement life cycle of the elevator component was proposed through the effective data by comparing and analyzing the domestic maker, elevator world data and survey data through the makers and the maintenance company.
The evaluation of ride quality and rotating machinery are the important techniques when maintaining elevator. Through the development of performance measurement device, it is possible to prognosis the condition of the characteristic features which indicate the fault event, and feature representation is a process where the features are calculated on time domain, frequency domain and waterfall function. The proposed evaluation criteria are conducted by the statistical analysis on the measured value of ride quality and vibration of traction machine. Thus it is necessary to use the analysis as performance assessment standards. If such standards are exceeded, the causes need to be analyzed through FFT analysis. It is deemed that the measurement and analysis on elevator ride quality and vibration of traction machine in combination with prevention maintenance and prediction maintenance would guarantee the higher stability and reliability. The reliability of Dr. Elevator system has been evaluated by Korea Research Institute of Standards and Science through experimental work that used the measured frequencies are 2.5, 5, 10, 20, 40, 63, 80 Hz, and the maximum relative standard uncertainty and tolerance range are 0.054% and under 5%, respectively. Dr. Elevator is validated by applying it to diagnosis and predicts the elevator fault cases of car resonance, rail installment, reducer fault, bearing fault, unbalance, misalignment and guide roller vibration etc.
This work studied the risk assessment by using the elevator accident and breakdown statistics data based on FMEA techniques and we tried an implementation of risk based inspection for the elevator maintenance in the site. This study has carried out the risk based inspection for elevator and has proposed the method on how to prevent elevator safety accident and make the premium management and maintenance
- Issued Date
- 2010
- Awarded Date
- 2010. 2
- Type
- Dissertation
- Keyword
- RBI Maintenance Inspection FMEA
- Publisher
- 부경대학교
- Alternative Author(s)
- Park, Seung-Tae
- Affiliation
- 부경대학교 기계공학한연협동과정
- Department
- 대학원 기계공학학ㆍ연협동과정
- Advisor
- 양보석
- Table Of Contents
- I. Introduction 1
1. Background 1
2. Motivations and Significance of This Research 3
3. Aims and Objectives 4
4. Research Method and Approach 5
5. Contribution of This Research 5
6. Organizational Overview of This Research 6
References 8
II. Preliminary Review 9
1. Introduction 9
2. Review of Maintenance Management 10
2.1. First Generation 11
2.2. Second Generation 11
2.3. Third Generation 11
2.4. Recent Generation 12
3. Risk Management 12
3.1. Source of Risk 13
3.2. Resource Exposed to Risk 16
4. Risk Based Inspection Maintenance Procedure for European Industry 17
4.1. RIMAP Work Process 19
4.2. The RIMAP Description of Risk, PoF, CoF 21
5. Elevator Risk Assessment and Reduction Methodology 22
References 30
III. Elevator Fault Analysis and Life Cycle Assessment 31
1. The Definition of Elevator 31
2. The Structure and Principle of Elevator 31
3. Main Component Element of Elevator 35
3.1. Traction Machine 35
3.2. Safety Gear 41
3.3. Overspeed Governor 42
3.4. Buffers 43
4. Survey of Elevator Part life Cycle 45
4.1. Maker Survey of Elevator Part Life 45
4.2. Maintenance Company Survey of Component Life 50
5. Life Cycle Analysis of Main Component 55
References 61
IV. New Concept of Performance Measurement and Evaluation 62
1. Introduction 62
2. Description of the system 63
2.1. The Composition of System 63
2.2. Basic Specification 65
2.3. Analysis Function 67
3. The Rotation Machinery Fault Feature 77
3.1. Introduction 77
3.2. Fault Occurrence for Diagnostics 77
3.3. Condition Monitoring and Fault Diagnosis of Induction Motors 93
4. Vibration Feature Study of Induction Motors 94
4.1. Bearing Outer Race Fault 97
4.2. Bearing Ball Fault 97
4.3. Bearing Inner Race Fault 98
4.4. The Unbalance of Induction Motors 99
4.5. Static Eccentricity of Induction Motors 99
4.6. Dynamic Eccentricity of Induction Motors 100
4.7. Broken Rotor Bars of Induction Motors 101
5. Case studies: Performance Assessment 102
5.1. Car Resonance 102
5.2. Rail Installment Check by Car Vibration Measurement 103
5.3. Mechanical Faults 104
5.4. Conclusion 108
References 109
V. Risk Based Inspection of Elevator 111
1. Introduction 111
2. Conventional Risk Analysis Method 114
2.1. Qualitative Risk Analysis Method 114
2.2. Quantitative Risk Analysis Methods 115
3. Statistic Analysis of Elevator Accident and Breakdown 118
3.1. Elevator Accidents 118
4. Risk Evaluation 135
4.1. Essential Safety Conditions 135
4.2. Comparison with Previous Year Inspection report 136
4.3. Maintenance Decision Method of Main Components 137
4.4. The Flow Chart of Risk based Inspection according to each units 145
5. Guidance for Optimal Risk-Based Maintenance 153
References 157
VI. Conclusions 159
VII. Future Works 161
국문 요약 164
Acknowledgements 168
- Degree
- Doctor
- Appears in Collections:
- 대학원 > 기계공학학연협동과정
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