Predictive Maintenance Technologies
Course Overview
The Predictive Maintenance Technologies course has many primary objectives that will enable the trainees in
• Understanding the use of predictive maintenance technologies as per the changing requirements of the market trends
• Implementation of predictive maintenance technologies to predict the failing point of the equipment using software and other new technologies
• Learning how the best solutions and technologies can help in untying the complex knot of real-world issues
• Assessing the chances of the productivity increment by using better and more current information, technologies, and processes
• Knowing how to make Predictive maintenance practical and effective to develop strategies to solve the issue of equipment failure
• Comprehending the technologies to improve the asset information consistency and reliability so that they could work best to be at a consistent pace of achieving the company’s objectives
• Apprehending why Predictive maintenance should be given more priority than reactive maintenance
Training Format:In-class, Virtual, In-house
Location:Lagos, Accra, Nairobi, Kigali
Language:English, French
Nigeria Price:
₦350000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$5500
Rwanda Price:
$6000
Nigeria Price:₦350000
Int'l., (Nigeria) Price:
$1000
Ghana Price:
$4000
Kenya Price:
$4000
Rwanda Price:
$4000
Nigeria Price: ₦350000
Int'l., (Nigeria) Price:
$1000
Ghana Price: $4000
Kenya Price: $4000
Rwanda Price: $4000
Overview of the Maintenance
• What is Maintenance?
• Why is it important?
• What are the benefits of Maintenance?
• Types of Maintenance
PdM
• What is PdM?
• Why is it used?
• Why is it important?
• How is it work?
• Existing technologies names
Analysis: Vibration
• Definition
• Usage
• Applications
• Safety measures
• Tools
Thermography, Ultrasonic, and Tribology
• Definitions
• Usages of each technology
• Applications
• Safety measures
• Tools
Establishing a PdM Program
• Steps
• Requirements
• Things to consider
• Things to avoid
CMMS
• Structure
• DB
• Workflow
• Maintenance strategies
• Management of the Configuration
• Asset Register
PFA
• FMECA and RBM integrating with PFA
• Comprehension of P-F intervals
• Decisions about which technology is well-suited and when
New Technologies (PdM)
• Megger Tests
• Temperature Sensitive Labels
• Visual Inspections
Maintenance Process: Control
• Stages of Implementation
• Things to consider
• KPIs for reporting
The Planning
• The workflow of maintenance
• Roles during preparation
• Roles during planning
• Roles during Scheduling
• Responsibilities during Preparation
• Responsibilities during planning
• Responsibilities during Scheduling
• Preparation principles
• Planning principles
• Principles of work Scheduling
• Network of the team
Six critical steps for developing a predictive maintenance program
• Formulation of the plan for the program
• Understating the audience
• Know what is an implementation plan and how to create it
• Working on some background knowledge
• Holistic view
• Achieving an effective Buy-in
• Some most essential rules of the predictive maintenance program
1ST BATCH: Tuesday, March 10, 2026 — Friday, March 13, 2026.
2ND BATCH: Tuesday, June 30, 2026 — Friday, July 3, 2026.
3RD BATCH: Tuesday, October 27, 2026 — Friday, October 30, 2026.
The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.
