ECC Books
New: Artificial Intelligence for Maintenance 4.0: AI Manual for Maintenance Engineers ( Second Edition)
Book Content
Chapter 1.0 - A.I - Machine learning applied for maintenance 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 - Reiforcement Learning (RL)
Chapter 11 - Natural Language Processing
Chapter 12 - Asset Management
New: RAMS and LCC Engineering for Railway Industry: Analysis, Modelling and optimization (Second Edition)
Book Content
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)
testimony
DAVID GONZA is the Architect of the African Railway Triangle Network Master Plan. I studied under Dr. Eduardo and his teachings on RAM were more than just an insight. He has distilled the very best in Railway RAMS into a Book I call the best in the world on the subject, and I would recommend the book to any and everybody.
Gas And Oil Reliability Engineering: Modeling and Analysis
Gas And Oil Reliability Engineering: Modeling and Analysis: (Content)
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
Safety Science: Methods to Prevent Incidents and Worker Health Damage at the Workplace
Safety Science: Methods to Prevent Incidents and Worker Health Damage at the Workplace (Content)
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
