Integrate predictive maintenance and industrial IoT into existing management routines rather than running it separately.
Predictive Maintenance and Industrial Internet of Things Applications
Turn predictive maintenance and industrial IoT from a stated policy into a practice your organisation can evidence.
📍 Abu Dhabi🗓️ 5 training days📚 4 modules🎓 Accredited certificate
5intensive training days
4scientific modules
8training sessions
32detailed points
Course Overview
Maintenance budgets are cut on predictive maintenance and industrial IoT in good years and paid for in bad ones. Participants gain a realistic view of what industrial IoT costs and what it returns. Ambition around this strand of engineering and maintenance work outruns capacity unless the sequencing is deliberate. The course covers predictive maintenance and industrial IoT at the level of detail needed to act, and stops there. The teaching approach is deliberately practical: participants build a maintenance procedure for the wider engineering and maintenance work agenda as they go. It is pitched for practitioners with responsibility for industrial IoT, not for observers of it. Field experience suggests that the barrier to better predictive maintenance and industrial IoT is rarely technical. Participants leave with a first-ninety-days plan for industrial IoT rather than a set of notes.
Expected Learning Outcomes
Apply safe isolation, permit and lockout controls to work on industrial IoT.
Determine the failure modes of predictive maintenance and industrial IoT and the consequence of each.
Specify acceptance criteria for work performed on industrial IoT.
Select the maintenance strategy for predictive maintenance and industrial IoT — run to failure, preventive, or condition-based — on evidence.
Set a realistic target state for industrial IoT and a defensible route to it.
Translate policy on predictive maintenance and industrial IoT into procedures that hold up under day-to-day pressure.
Who Should Attend
Managers with direct responsibility for predictive maintenance and industrial IoT within the asset base.
Inspection and integrity engineers assessing industrial IoT.
Contractor supervisors performing work on predictive maintenance and industrial IoT.
Coordinators responsible for keeping records and documentation of industrial IoT current.
Plant and facility managers accountable for availability of predictive maintenance and industrial IoT.
Maintenance managers and planners responsible for industrial IoT.
Course Modules
Predictive maintenance and industrial IoT: inspection, testing and acceptance criteria
2 sessions · 8 pointsSession 1How predictive maintenance and industrial IoT actually fails, and how much warning you get
- Confirm isolation and permit requirements before any work on predictive maintenance and industrial IoT.
- Agree what will be standardised in industrial IoT and what will not.
- Choose the maintenance strategy for predictive maintenance and industrial IoT based on failure pattern, not tradition.
- Record the rationale for each significant choice made about industrial IoT.
Session 2Planning work on industrial IoT so it does not become reactive
- Establish what evidence demonstrates predictive maintenance and industrial IoT is under control.
- List the credible failure modes of industrial IoT and the consequence of each.
- Record what was learned when predictive maintenance and industrial IoT did not go as planned.
- Verify contractor competence and method statements for industrial IoT.
Industrial IoT: safe isolation and permit control
2 sessions · 8 pointsSession 1Choosing a maintenance strategy for industrial IoT on evidence
- Investigate repeat failures on predictive maintenance and industrial IoT to root cause, not to component.
- Check that industrial IoT still works when volumes rise unexpectedly.
- Map the handovers in predictive maintenance and industrial IoT between functions and secure them.
- Check that records of industrial IoT answer the questions likely to be asked.
Session 2Making industrial IoT work when resources are constrained
- Identify where judgement in predictive maintenance and industrial IoT is legitimate and where it is not.
- Arrange the handover of industrial IoT so capability survives staff changes.
- Set out the decisions in predictive maintenance and industrial IoT that require sign-off and by whom.
- Establish the boundary of industrial IoT and record what sits outside it.
Industrial IoT: history, documentation and competence
2 sessions · 8 pointsSession 1Maintenance indicators for industrial IoT that change behaviour
- Assign responsibility for keeping documentation of predictive maintenance and industrial IoT current.
- Test the procedure for industrial IoT against a realistic scenario.
- Set maintenance indicators for predictive maintenance and industrial IoT that reward planning rather than heroics.
- Identify the data already collected that bears on industrial IoT.
Session 2Where predictive maintenance and industrial IoT typically breaks, and why
- Name a single owner for each element of predictive maintenance and industrial IoT.
- Define the trigger that would require industrial IoT to be redesigned.
- Confirm that reporting on predictive maintenance and industrial IoT reaches the people who can act.
- Define acceptance criteria for completed work on industrial IoT.
Industrial IoT: failure modes, consequence and criticality
2 sessions · 8 pointsSession 1Investigating the failure on industrial IoT that keeps returning
- Confirm that contractual obligations around predictive maintenance and industrial IoT are understood.
- Establish who is informed, consulted and accountable in industrial IoT.
- Collect evidence on the present handling of predictive maintenance and industrial IoT before proposing changes.
- Review whether industrial IoT is aligned with the objectives of the asset base.
Session 2The decisions in industrial IoT that cannot be delegated
- Assign a criticality rating to predictive maintenance and industrial IoT that drives work order priority.
- Draft the minimum viable maintenance procedure for industrial IoT.
- Build the internal briefing that explains predictive maintenance and industrial IoT to those affected.
- Rank the weaknesses in industrial IoT by consequence rather than by ease of fixing.
Choose the package that suits you
Silver Package
At least 3 people
USD1,250
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Gold Package
At least 3 people
USD1,850
- 5-night stay in a 5-star hotel
- Workshop or Program Participation
- Airport Transfers
- Customized Badge
- Expert Mentorship (Private Sessions)
- Supervision & Secretarial Services
- Accredited Certificate of Participation
- Complete Training Kit
- Coffee Break
- Closing Ceremony
Complete your registration
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