Weibull Analysis in API 581 Risk-Based Inspection
LEVEL: ADVANCED HRDF: CLAIMABLE
Four (4) CPD Hours approved by MBOT
TRAINERS:
ASSOCIATE PROFESSOR DR AINUL AKMAR MOKHTAR, ASSOCIATE PROFESSOR DR MASDI MUHAMMAD & DR HILMI HUSSIN
11 - 12 JULY 2023
CAPE Office,
Level 8, Permata Sapura, Kuala Lumpur
9.00AM - 5.00PM
RM 2,500 FOR PROFESSIONALS
10% Discount for Early Bird (until 11 June 2023) / Group / Students
CONTENT SUMMARY
INTRODUCTION
In Weibull Analysis, also known as life data analysis, the main objective is to make predictions about the life of the equipment/component in the population by fitting a statistical distribution to life data from a representative sample of units. The parameterized distribution for the failure data set can then be used to estimate important life characteristics of the product such as the probability of failure at a specific time, the mean life and the failure rate, to name a few. Wellbore analysis has been included in the new version of API 581 Risk-Based Inspection Methodology and there is a need to understand what Wellbore analysis is all about. This course presents an overview of basic concepts in Weibull analysis and how it is being applied in API 581.
Overview of API 581 Risk-Based Inspection Methodology Overview of Weibull Analysis applied in API 581
Basic probability and statistics in Reliability (Review)
- Random variables (discrete vs. continuous)
- Probability theory
- Probability density function
- Cumulative density function
- Failure Histogram
- Common failure distributions
- Exponential
- Normal
- Lognormal
- Weibull
Type of failure data (complete vs. censored)What is Wellbore analysis?
Characteristis of Weibull Distribution
- β, the shape parameter
- η, the characteristic life parameter
- Parameter estimation
Business Analytics for Value Co-Creation
- To apply service-dominant analytics in co-creating value with stakeholder for gaining competitive edge
- To provide comprehensive overview of future looking marketing strategies for creating sustainable business
2-parameter Weibull vs. 3-parameter Weibull Analysis in Excel Case study Hand-on exercises
OBJECTIVES
Upon completion of this course, participants will be able to:
- Describe the Weibull distribution.
- Apply the Weibull analysis to determine the probability of failure of Pressure Relief Device (PRD) and Heat Exchanger Tube Bundle.
WHO SHOULD ATTEND?
- Inspection engineers
- Corrosion engineers
- Reliability engineers
- Safety engineers
- Quality engineers
- Asset integrity personnel
OUR TRAINERS
1. Associate Professor Dr. Ainul Akmar Mokhtar (UTP)
Dr Ainul Akmar Mokhtar current position as Associate Professor in Mechanical Engineering, Universiti Teknologi PETRONAS. She had industrial experience, 3 Years with SEAGATE Technology Sdn Bhd, and 19 Years with University Teknologi PETRONAS. AP Dr Ainul had academic qualifications, PhD in Mechanical Engineering (Reliability Engineering),Universiti Teknologi Petronas, Master Of Science In Manufacturing Systems, University Of Nottingham and Bachelor Of Science In Industrial Engineering, Purdue University. Area of expertise in Industrial Engineering, Mechanical Engineering, Operations Management and Operations Research. She had professional certifications and awards in API 580 Risk-Based Inspection and HRDF Certified Trainer.
2. Associate Professor Dr. Satirenjit K Johl (UTP)
Area of expertise for AP Dr Masdi in, Reliability Engineering, Asset and operation management, Discrete event simulation and RAM Modeling, Life Cycle Cost Analysis and Predictive analytic modeling. AP Dr Masdi had professional certificate and award gains in Chartered Engineer (UK), HRDF Certified Trainer, Certified Reliability Engineer (CRE-8155) by American Society for Quality (ASQ), Certified Maintenance and Reliability Professional (CMRP- 156299) by Society for Maintenance and Reliability Professionals (SMRP).
3. Dr Hilmi Hussin (UTP)
Dr Hilmi Hussin current position as Programme Manager, MSc Asset Management and Maintenance, Universiti Teknologi PETRONAS. He had industrial experience 6 Years with Seagate Technology Sdn Bhd (Senior Quality Engineer), 4 Years with Applied Magnetics Sdn Bhd (Process Engineer) and 17 Years with Universiti Teknologi PETRONAS. Academic qualification for Dr Hilmi, PhD in Mechanical Engineering (Reliability Engineering) from Universiti Teknologi PETRONAS, Master of Science in Manufacturing System Engineering from Warwick University, UK and Bachelor of Science in Mechanical Engineering from State University of New York, Buffalo, NY, USA.
Dr Hilmi had area of expertise in Reliability Engineering, Asset and operation management, Discrete event simulation and RAM Modeling, Six Sigma and Lean Manufacturing. His professional certification and awards in Six Sigma Black Belt (Seagate Technology) and HRDF Certified Trainer.
REGISTRATION FEES
PROFESSIONALS
MYR2,500*
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
EARLY BIRD/ GROUP/ STUDENT
MYR2,250*
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
OUR LOCATION
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
CALL US
+605 - 368 7558 /
+605 - 368 8485
DROP US AN EMAIL
cape@utp.edu.my