AI is changing how maintenance teams monitor assets, predict failures, improve reliability, and optimise maintenance activities. AI can process vast amounts of equipment data faster than any human.
Yet one reality remains unchanged: maintenance is not a video game, and there is no reset button when things go wrong.
Industrial environments are full of hazards. Decision-makers carry responsibility, and every decision has consequences. Responsibility cannot and must not be delegated to AI.
If data does not become actionable information, it has no value.
In vibration-based condition monitoring, AI processes far more data than a human expert—but often produces far more findings for the expert to review. This burdens already limited expert resources.
The objective should not be to generate more alarms, but to filter out those that do not require expert attention.
While machine-learning systems can recognise patterns in machine behaviour, they do not understand failure mechanisms the same way as experienced, certified vibration experts with hands-on field experience. Experts also understand how proactive actions, such as lubrication and load reduction, prevent repairs.
Data can reveal developing issues, but converting those findings into effective maintenance actions requires human expertise. Automation should help experts focus on the findings that matter most, not create more alerts to investigate.
AI loves continuous data, but data quality matters more than quantity.
Too often, data volume substitutes for data quality. AI benefits from continuous data, so IoT technology is added, data streams grow, and the focus shifts from making an impact to reviewing alerts.
For many plants, route-based measurements remain one of the most cost-effective and comprehensive approaches.
If route-based measurement cannot produce high-quality input data for AI, adding more sensors will not solve the problem.
At Asensiot, automation and people screen maintenance actions—not just data.
Asensiot combines high-quality monthly route-based vibration measurement with your existing field routines and applications. Where needed, we add online measurements or support existing online data.
This enables plant-wide coverage of all assets, not just critical equipment. Combining vibration measurements with existing field routines improves overall impact efficiency.
Without an expert layer, data remains just data. Expert screening transforms data into actionable information that guides maintenance decisions by defining what needs attention, what action(s) to take, and when to act. Real value is created when actions are verified, outcomes are measured, and root causes are understood. This is the foundation of MyAsensiot Condition Screening®.
Our ISO-certified vibration experts review reliable automated highlights and refine them into clear, prioritised maintenance actions. We help maintenance and reliability teams focus on performance improvement, rather than sorting through large volumes of data and alerts.
Asensiot’s new MyAsensiot RDC (Route Data Collector) connects your field applications and routines with high-end vibration measurement.
The new MyAsensiot RDC is a lightweight field device designed to work alongside existing field applications, including inspection checklists and safety observations. It enables fast, high-quality vibration measurement collection as part of normal monthly routines and existing field workflows.
The challenge in maintenance is rarely collecting more data. The real challenge is collecting relative data and turning data into actionable information that supports better maintenance decisions. This principle is at the core of Asensiot's approach. In maintenance, the goal is not more data. The goal is better decisions.
