Advanced Machinery Failure Analysis and Prevention

Machinery failure analysis and prevention using structured and systematic approaches are critical for every successful plant. This course aims to develop skills to analyze and prevent machine failures and improve machine reliability and availability, as well as overall plant productivity. This includes all of the basics, systematic, and structured best practices, methods, and applications that professionals use to perform maintenance on fully operational plants. In summary, this course provides a practical step-by-step guide to best practices for analyzing and preventing machine failures that deliver maximum business value.

Salvo Global course covers structured results-oriented failure analysis methods for all types of machine components and the entire machine system. Participants will learn how parts fail, why they fail in a particular mode,  online and offline failure symptoms, and general failure prevention methods. Participants will be instructed in condition monitoring, and learn how to use vibration analysis to detect, identify, evaluate, and diagnose many common failures in rotating and reciprocating machines.

Top Learning Objectives

  • DETERMINE ways to improve equipment reliability and the overall system process
  • PREVENT mechanical failures and reduce operating costs
  • APPLY a methodology to identify the type and the failure root cause
  • DEVISE an FMEA based approach to extend equipment asset life and machinery reliability

Who Should Attend?

  • Maintenance Planners
  • Maintenance Schedulers
  • Maintenance Superintendents
  • Maintenance Managers
  • Preventive Maintenance Supervisors
  • Predictive Maintenance Supervisors
  • Maintenance Supervisors
  • Reliability Managers
  • Engineering Managers
  • Preventive Maintenance Engineers
  • Preventive Maintenance Engineers
  • Maintenance Engineers
  • Maintenance Foreman
  • Physical Asset Managers
  • Reliability Engineers
  • Operations Managers
  • Plant Managers
  • Plant Engineers

Trainer's Background

  • He has over 25 years expertise in heavy industry, maintenance, reliability, project management and operational excellence
  • He’s a former Director of Asset Management and Operational Excellence
  • Has an extensive experience in lean manufacturing, six sigma, project management, operations management, asset management, advance problem solving and strategy deployment in complex large organizations worldwide
  • Has deep exposure in product transformation and quality management systems (eg. ISO 9001, ISO11000, ISO55000, TS 16949, Mil-Std).
  • Emirates CMS Power Company
  • THC Consulting
  • Shell
  • Murphy Oil
  • Petronas
  • Advance Petrochem
  • ArcelorMittal
  • Golden Truth China
  • Louisiana Pacific Corporation
  • Sejingkat Power Corporation
  • Alkhorayef Industries
  • Tenaga Nasional Berhad
  • Rabigh Electricity Company
  • Astra Honda Motors

“Redefining the maintenance function by introducing and implementing the maintenance engineering function as core of the asset integrity, it did help improving our equipment efficiency by 5% within 8 months’ time period.”

 Bernard Rioux, Maintenance Manager


“We have been struggling with equipment failures and data analysis till the deployment of reliability engineering and advance data analysis tools.”

 Stephen Mattews, Asset Management Director


“Restructuring the maintenance and reliability department and the management function, we saw a significant improvement in data performance tracking, problem solving on critical equipment and maintenance strategy.”

Dan Koss, Maintenance Sr. Manager