Predictive Maintenance & Condition Monitoring

Unplanned downtime is one of the largest avoidable costs in any plant. This course shows maintenance and operations teams how to shift from reactive and preventive routines to condition-based, predictive maintenance, using sensors, vibration fundamentals and failure-mode thinking. It pairs naturally with our Industrial IoT module.

The course covers the shift from scheduled maintenance to condition-based intervention, and is aimed at maintenance and reliability staff, engineers and plant managers. Participants work through the monitoring techniques that carry most industrial value, including vibration analysis, thermography, oil analysis and motor current signature analysis, and what each reveals about developing failure. Alongside the techniques, the session covers failure modes, P-F intervals, setting alarm thresholds that are actionable rather than noisy, and building the business case, since predictive maintenance competes for budget against the reactive spending it is meant to replace.

HRD Corp Training Provider MalaysiaHRD Corp SBL-Khas Claimable

Programme Modules

01

Sensor & Vibration Fundamentals

How vibration, temperature, oil and acoustic sensors work, what they measure, and how to place them for meaningful signals on rotating and fixed plant.

02

Condition-Monitoring Techniques

Vibration spectrum analysis basics, thermography, lubrication and oil analysis. Building a monitoring routine that catches faults before they become failures.

03

Failure-Mode Analysis

FMEA and reliability-centred maintenance (RCM) thinking. Ranking failure modes by likelihood and consequence to decide what to monitor and how often.

04

Maintenance KPIs & Programme Design

MTBF, MTTR, availability, OEE and planned-maintenance percentage. Designing a predictive-maintenance rollout that fits the plant's maturity.

Key Outcomes

  • Explain the difference between reactive, preventive and predictive maintenance
  • Select and place the right condition-monitoring sensors
  • Read basic vibration and thermography signals
  • Run an FMEA to prioritise failure modes
  • Define maintenance KPIs and a rollout roadmap

Training Mode   Physical / Online / Hybrid / e-learning

HRD Corp   SBL-Khas Claimable

Duration   1 Day

Training Hours   9:00 AM to 5:00 PM

Level   Intermediate (plant / maintenance staff)

Certificate   None, Orbix own course. Delivered as an HRD Corp claimable workshop with an Orbix certificate of completion.

Frequently Asked Questions

Yes. Predictive Maintenance & Condition Monitoring is HRD Corp SBL-Khas claimable. Employers registered with HRD Corp (PSMB) can claim the training fee against their levy, as Orbix Tech Sdn Bhd is an HRD Corp certified training provider. Submit the SBL-Khas application before the session date.

Predictive Maintenance & Condition Monitoring runs for 1 day, 9:00 AM to 5:00 PM. It is delivered as an in-house closed group session, so the schedule can be adjusted to fit your team's working hours.

Yes. Delivery options are physical, online, hybrid, e-learning. In-house sessions run at your premises anywhere in Malaysia, online sessions run live over video conference, and hybrid combines both for teams split across sites.

None, Orbix own course. Delivered as an HRD Corp claimable workshop with an Orbix certificate of completion. Each certificate carries a certificate number that can be checked at orbixtech.my/certificate-verify.

Level: Intermediate (plant / maintenance staff). The session is built around worked examples and group exercises rather than theory, so participants apply the material to their own organisation during the session.

Half-day and full-day sessions are quoted per session for a closed group, from RM 800 and RM 1,750 respectively. Advanced 2-day programmes are quoted per participant, from RM 4,000. All figures are before any HRD Corp levy claim.