Prevent unplanned downtime with predictive maintenance
We help maintenance teams across Australia detect faults early, schedule effective preventative actions, and extend asset life using condition monitoring, expert analysis, and clear guidance.
Why predictive?
Move from reactive firefighting to planned reliability. Our programmes combine sensors, data, and engineering to deliver measurable improvements.
Unplanned downtime
Find developing faults early and schedule repairs around production, not the other way round.
Condition-based care
Lubricate, align, and balance only when needed. Reduce over-maintenance and collateral damage.
Lower total cost
Avoid catastrophic failures, cut spares consumption, and focus teams on high-value work.
Vibration analysis
Time waveform and FFT analysis reveals misalignment, imbalance, looseness, bearing and gear defects. We support permanent sensors and periodic routes, with expert diagnosis and actionable reports.
- High resolution data for precise fault detection
- Order analysis with speed input for variable-speed assets
- Clear defect severity and corrective actions
Thermography
Thermal imaging identifies adnormal surface temperatures across electrical, mechanical, and process equipment. Capture trending imagery and receive prioritised remediation guidance.
- Electrical inspections (switchboards, MCCs, terminations)
- Mechanical inspections (bearings, couplings, conveyors)
- Process monitoring (insulation, refractory, heat exchangers)
Condition monitoring products
Hardware and software designed for practical deployment and clear decisions.
Kelvin — Wireless thermal camera
Permanent thermal monitoring for critical assets. Ideal for enclosed or hard-to-reach areas where early detection matters most.
Online vibration monitoring systems
Real-time data collection with modular acquisition supporting high sample rates and speed inputs for order analysis.
Condition monitoring accessories
We supply a range of condition monitoring accessories incluing; switch boxes, sensors, cables etc.
Services
From programme design to ongoing routes and training.
Remote monitoring
Online trending for critical assets with expert fault detection and clear recommendations delivered to your team.
Condition monitoring surveys
Regular vibration and thermal rounds with expert analysis and clear maintenance actions. Oil sample collection and analysis
Engineering
Criticality Analysis, FMECA assessments, Balancing and Alignment. Commissioning and verification or new and exisitng assets.
Training & competency
Practical onsite training and documented competency for safe, consistent work.
Industries we serve
Mining • Oil & Gas • Water & Energy • Manufacturing • Marine & Port
About Predictive Industries Pty Ltd
We’re an engineering-led team based in Western Australia, focused on practical condition monitoring that pays for itself. We combine sensors, secure connectivity, and experienced analysts to deliver better outcomes, not just more data.
- Australian owned and operated
- Safety-first culture and site-ready competencies
- Flexible engagement: projects, managed service, or hybrid
Ready to reduce downtime?
Book a short discovery call. We’ll map your critical assets and outline a right-sized pilot.
Frequently asked questions
What’s the fastest way to start?
Begin with a pilot on 5–20 critical assets for 60–90 days. We’ll prove early wins and build your internal business case.
Do we need permanent sensors?
No. We support both permanent sensors and periodic routes. Many sites use a hybrid approach and scale up over time.
Which faults can you detect?
Common issues include misalignment, imbalance, looseness, bearing and gear defects, electrical hotspots, and thermal inefficiencies.
How do you handle data security?
Data is encrypted in transit and at rest, with customer-level segregation and role-based access. We use VPNs and follow best practice.
Can you train our team?
Yes. We provide practical training and mentoring to embed condition-based maintenance on site.
Contact us
Send a message and we’ll reply within one business day.