Optimize Machine Performance

with k.on.ect

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The VibroSystM Methodology:
The Intelligence Behind k.on.ect KPIs

At VibroSystM, we understand that trust is earned. For 40 years, we have been at the forefront of machine diagnostics, building a legacy of precision, expertise, and collaboration with machine owners worldwide. Our new k.on.ect cloud service is the culmination of this four-decade journey, embedding our deep institutional knowledge into a dynamic, intelligent system. The Key Performance Indicators (KPIs) within k.on.ect are not generic, static numbers. They are the result of a rigorous, multi-layered methodology designed to provide a true and contextualized assessment of your machine's health.

The Strategic Goal of k.on.ect:
Pinpointing What Matters

Before diving into the methodology, it is important to understand the primary goal of the k.on.ect KPIs. We do not pretend they will replace the need for in-depth, expert analysis. In fact, our comprehensive Results Interpretation Service (RIS) reports will continue to be offered for detailed diagnostics and actionable recommendations. Instead, the strategic power of k.on.ect lies in its ability to constantly screen your entire fleet and instantly identify areas of interest. This provides an enormous gain in efficiency. Machine analysts, who currently spend a significant amount of time screening vast databases, can now immediately focus on the most relevant machines and time periods. For machine owners, this means you can optimize your diagnostics budget, investing in in-depth analysis only where the data shows it's most needed. The KPIs are your first line of intelligence, pointing you exactly where to look next.

Our Guiding Philosophy: From Data to Diagnostics

A machine's health cannot be evaluated in a vacuum. A "normal" reading for one machine could be an early warning sign for another. Our philosophy is that true diagnostics require context. Therefore, the severity levels in k.on.ect (Normal, Sub-optimal, Serious, Critical) are not based on one-size-fits-all tables but are dynamically calculated based on the unique identity and operational expectations of each asset.

The Pillars of Our KPI Attribution

Our methodology stands on three (3) pillars that combine international standards with unparalleled real-world experience.

1. Built on International Standards, Refined by Experience. We use internationally recognized standards, such as ISO 20816 for vibration analysis, as the foundation of our logic. This ensures our methodology is grounded in established engineering principles. However, our 40 years of field data have shown us where these standards can be refined. Our internal tolerance tables, which have been peer-reviewed and approved by our senior machine experts, enhance these standards to provide a more nuanced and accurate assessment than any generic guide can offer.

2. Context Is Key: A Tailored Analysis for Every Machine. The k.on.ect system tailors its analysis by considering the specific design and operational context of your machine. Before a single severity level is assigned, our system accounts for critical dependencies, including:

- Machine Type and Industry: The operational demands on a Hydro generator are vastly different from those on a Turbo generator or a GMD (Gearless Mill Drive). Our KPIs are calibrated for these distinct environments.
- Mechanical Construction: How a machine is physically built and integrated into its foundation dictates its unique dynamic signature. We consider the complete mechanical system—from its orientation and support structure to the way forces are transmitted through its frame and bearings. This is crucial because a machine’s construction defines how it should behave, allowing us to distinguish between normal operational stress and the early signs of a structural issue.
- Design Specifications: Every machine is built with specific material and geometric limits that define its operational boundaries. We integrate these core "as-built" parameters directly into our KPI calculations. This ensures our analysis is always relative to the machine's own design capabilities. By doing this, we assess the health of your machine against its own potential, not against a generic standard, providing a far more precise and meaningful evaluation of stress and degradation.

3. Dynamic Thresholds Based on Your Asset's Life Expectancy. We recognize that your goal is not only to operate a machine but to maximize its operational lifespan. k.on.ect is the only platform that allows you to integrate the target life expectancy of your machine directly into the KPI calculations. When you input the desired lifespan (e.g., 25 or 50 years), our thermal KPIs automatically adjust their severity thresholds. This powerful feature moves beyond simple temperature alerts; it provides an assessment of the machine's thermal aging rate. This allows you to manage the machine's operation in a way that directly supports your long-term reliability and financial goals, preventing premature aging caused by excessive thermal stress.

A Partnership in Innovation

Just as VibroSystM did with the ZOOM platform, we see k.on.ect as a collaborative tool that will grow and evolve with our partners. We are committed to working closely with machine owners to continuously refine our analytics, ensuring the KPIs always reflect the information you are looking for. This is more than a service; it's a partnership built on 40 years of trust and a shared commitment to machine reliability.