Machine Health Scan: Early detection of machine degradation
Machine Health Scan is a compact, one-day, practice-oriented training course in which you learn how to use Electrical Signature Analysis (ESA) to detect early degradation and root causes of failure across the entire drive train.
When a failure occurs, it is often already too late: downtime, damage and production losses become unavoidable. In reality, defects rarely arise suddenly. They announce themselves through changes in the behaviour of motors, drives and mechanical systems, long before visible damage, performance loss or breakdown occurs.
With Electrical Signature Analysis (ESA), the electric motor is used as a sensor. By analysing current and voltage signals under real operating conditions, you gain insight into the behaviour of the motor, drive (frequency converter), mechanical transmission and process. This allows you to intervene at root-cause level during commissioning as well as during periodic inspections, preventing risks from escalating into actual damage.
The focus is not on complex theory, but on understanding what you observe, recognising patterns, and translating measurements into concrete actions.
Inhoud
1. Machine health and systems thinking
In this first module, you learn to view machines as a single integrated system in which power supply, motor, frequency drive, mechanical transmission and process continuously influence one another. By gaining insight into cause-and-effect relationships, you understand how deviations arise and evolve, and why symptom-based fixes rarely lead to sustainable solutions.
2. Electrical Signature Analysis (ESA) in practice
You receive a practical introduction to Electrical Signature Analysis (ESA) as a method for early detection of machine problems. Using current and voltage measurements under real operating loads, you learn how ESA is applied during commissioning and periodic inspections to identify abnormal behaviour in drive systems at an early stage.
3. Recognising abnormal patterns
This module focuses on recognising and interpreting signal patterns that indicate emerging problems. You learn to distinguish between normal machine behaviour and deviations caused by electrical, mechanical or process-related factors, well before visible damage or performance loss occurs.
4. From measurement to action
Finally, you learn how measurement results are translated into a concrete, risk-based action plan. The emphasis is on targeted maintenance, failure prevention, and increasing the reliability, availability and service life of technical installations. The training concludes with practical tools to immediately apply the insights within your maintenance strategy.
Learning objectives
After completing this training, you will be able to:
- Understand and apply the principles of Electrical Signature Analysis (ESA)
- Detect early signs of degradation and failure mechanisms in drive systems
- Interpret ESA measurements and patterns under real operating conditions
- Translate measurement results into effective, risk-based maintenance actions
Target audience
This training is intended for maintenance technicians and professionals — ranging from maintenance technicians and reliability engineers to technical managers — who want to explore and apply Electrical Signature Analysis (ESA) to gain a clear understanding of the interaction between motor, drive and process.
Approach
This training is designed as a practical learning experience that deepens participants’ insight into machine maintenance and diagnosis:
- This course is designed as a practice-oriented learning experience that gives participants deeper insight into machine maintenance and diagnosis. Participants are actively involved in the learning process, which helps anchor knowledge and improves understanding of machine behavior and the causes of faults.
- Visualization: The training makes extensive use of visual supports such as illustrations, examples, and demonstrations. This enhances understanding of complex technical concepts and creates a more direct link between theory and practice.
About the trainers
BEMAS and Orbits organize four individual training courses that can be followed on their own, or together as a coherent, practice-oriented learning package focused on machine diagnosis and reliable maintenance. The learning path combines early detection, deep analysis, structural understanding, and targeted mitigation. By following the courses step by step, you build an integrated understanding of machine behavior — from cause to solution — leading to better maintenance decisions, higher reliability, and less unplanned downtime. For those seeking maximum practical impact, it is recommended to follow all four courses.
Further information about these courses can be found on the respective dedicated pages.
Over de lesgevers
Bram Corne is an expert in electrical machine diagnostics with a background in academic research and strong focus on industrial applications. As co-founder of ORBITS Machinery Diagnostics, he uses his extensive expertise to diagnose and optimize industrial machines. He is ISO 18436-2 CAT IV Vibration Analyst and trainer, with extensive experience solving industrial diagnostic problems across multiple sectors.
Bram Vervisch has a broad background in mechanical vibrations and is co-founder of ORBITS Machinery Diagnostics. He remains partially active in the academic world. Bram is ISO 18436-2 CAT III Vibration Analyst and trainer. At ORBITS, he now focuses on advising and guiding companies toward solutions for optimal performance and reliability of their electric motor systems.
You might also be interested in the following training courses
BEMAS and Orbits organize four individual training courses that can be followed on their own, or together as a coherent, practice-oriented learning package focused on machine diagnosis and reliable maintenance. The learning path combines early detection, deep analysis, structural understanding, and targeted mitigation. By following the courses step by step, you build an integrated understanding of machine behavior — from cause to solution — leading to better maintenance decisions, higher reliability, and less unplanned downtime. For those seeking maximum practical impact, it is recommended to follow all four courses.
Further information about these courses can be found on the respective dedicated pages.
Graag min. 14 dagen voor de start inschrijven. PO kan later bezorgd worden.
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