Chapter 1 - RAMS and LCC Engineering Program
Chapter 2 - Failure Mode and Effect Analysis(FMEA)
Chapter 3 - Reliability Centred Maintenance (RCM)
Chapter 4 - Lifetime Data Analysis (LDA)
Chapter 5 - Design for Reliability (DFR)
Chapter 6 - Human factor
Chapter 7 - Reliability, Availability and Maintainability Analysis (RAM)
Chapter 8 - Integrated Logistic Support (ILS)
Chapter 9 - Safety
Chapter 10 - Asset Management (AM)
CHAPTER 1: A.I - Machine Learning applied for Maitenance 4.0
CHAPTER 2: Maintenance Concepts
CHAPTER 3: Prognostic Health Management
CHAPTER 4: Machine Learning Concepts
CHAPTER 5: Unsupervised Machine Learning
CHAPTER 6: Supervised Machine Learning Classification
CHAPTER 7: Supervised Machine Learning Regression
CHAPTER 8: Ensemble Methods
CHAPTER 9: Convolutional Neural Network
CHAPTER 10: Asset Management 4.0
CHAPTER 1: Lifetime Data Analysis
CHAPTER 2: Accelerated Life Test, Reliability Growth Analysis,
and Probabilistic Degradation Analysis
CHAPTER 3: Reliability and Maintenance
CHAPTER 4: Reliability, Availability, and Maintainability (RAM Analysis)
CHAPTER 5: Human Reliability Analysis
CHAPTER 6: Reliability and Safety Processes
CHAPTER 7: Reliability Management
CHAPTER 8: Asset Management
CHAPTER 1: RAMS and LCC Engineering Program
CHAPTER 2: Failure Mode and Effect Analysis (FMEA)
CHAPTER 3: Reliability Centred Maintenance (RCM)
CHAPTER 4: Lifetime Data Analysis (LDA)
CHAPTER 5: Design for Reliability (DFR)
CHAPTER 6: Human factor
CHAPTER 7: Reliability, Availability and Maintainability Analysis (RAM)
CHAPTER 8: Integrated Logistic Support (ILS)
CHAPTER 9: Safety
CHAPTER 10: Asset Management (AM)
CHAPTER 1: Occupational Risk
CHAPTER 2: Qualitative Risk Analysis: Concepts and Methods
CHAPTER 3: Quantitative Risk Analysis: Concepts and Methods
CHAPTER 4: Consequence and Effect Analysis
CHAPTER 5: Emergency Response Planning
CHAPTER 6: Incident and Accident Analysis
CHAPTER 7: Human Factor
CHAPTER 8: Safety Standards
CHAPTER 9: Safety and Occupational Health Management