Decoupling time, distance, and expertise: The power of Insight as a Service (IAAS)
Published on November 6, 2026- 1. Introduction: The operational reality of distributed assets
In highly critical operations, from offshore drilling vessels and dredging ships to chemical plants and continuous processing utilities, asset reliability faces a persistent physical hurdle. At ORBITS, our foundational beliefĀ remains unchanged: "Machines should run like clockwork." Achieving and verifying that state requires cross-domain intelligence across the entire electromechanical driveline: from the power supply and Variable Frequency Drive (VFD) to the motor, mechanical load, and structural foundation.
However, there is an operational challenge that maintenance leadership confronts daily: the optimal window to measure a critical machine rarely aligns with the physical availability of diagnostic specialists.
A critical pump may exhibit transient instability only during an unpredicted production peak; a marine propulsion line may only be accessible during a four-hour bunkering window in an overseas port; or a remote turbine may be running under critical test conditions over a weekend. Mobilizing specialized engineers across borders or offshore assets requires substantial lead times, expensive travel logistics, and extensive safety clearances. As a result, critical measurement opportunities are missed, post-overhaul baselines are postponed, and important questions about machine reliability remain unanswered..
Insight as a Service (IAAS) addresses this challenge by separating data collection from specialist analysis. Your local team measures when the operation allows it. ORBITS interprets the data and translates the findings into clear insights and practical recommendations.
- 2. The diagnostic bottleneck: Logistics vs. timely insight
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Challenge 1
Missed transient operational windows
Machine degradation and harmful stress conditions (such as hydraulic cavitation, torsional oscillations, or VFD-driven common-mode voltages) frequently manifest only under specific load points or thermal equilibriums. If specialists are not on-site during that exact operational window, valuable opportunities to capture these phenomena may be missed.
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Challenge 2
The "travel-to-insight" friction
Important opportunity!In industries such as dredging, maritime, and offshore energy, the logistics of flying a specialist engineer to an asset can represent a substantial part of the total diagnostic cost. Travel arrangements and site access requirements can also delay the actual measurement.
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Challenge 3
Delayed post-overhaul or commissioning validation
Following a shutdown or component replacement, equipment must be returned to service within a very tight schedule. Waiting for an external expert to perform an acceptance baseline delays production start-up. Bypassing the check, on the other hand, risks inheriting unmitigated installation stress.
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Challenge 4
Data collection without deep interpretation
Many facilities already collect valuable condition monitoring data using handheld instruments or online systems. This data primarily supports the detection and tracking of developing faults within the P-F interval. ORBITS complements this approach by focusing on the D-I-P domain: the electrical, mechanical and operational conditions that can initiate degradation before a detectable damage pattern develops. Identifying these conditions requires targeted cross-domain measurements and specialist interpretation, providing insight into why future damage may occur and which actions can help prevent it.
- 3. The solution: Insight as a Service (IAAS) & the "Harvey" ecosystem
Insight as a Service (IAAS) eliminates these practical barriersĀ by separating the act of measuring from the science of interpretation.
Through our proprietary "Harvey" diagnostic kit, ORBITS equips local maintenance teams and asset operators with a robust, standardized hardware suite designed for rapid, safe deployment on critical drivelines:
On-demand local capture: When operational conditions demand validation or when an acute anomaly arises your on-site team connects the standardized Harvey acquisition hardware to pre-identified test interfaces (voltage/current sensors and vibration transducers). No specialized diagnostic background is required to initiate the capture.
Data transfer: The raw high-frequency waveforms are packaged and transferred directly in the ORBITS diagnostic team.
Cross-domain analytical synthesis: Our team of rotating machinery specialists correlates the signals across the complete chain, including power quality distortions, VFD switching transients, air gap eccentricity, bearing currents (EDM), dynamic mechanical unbalance, and other stress vectors. By examining their interaction, we identify potentially harmful conditions and investigate the causes behind observed machine behaviour.
Decisive Reliability Action Plan: The asset management and maintenance team receives an independent diagnostic report stating whether the machine is "fit for serviceā,Ā detailing active stress vectors and clear corrective measures. This provides the insight needed to prioritize interventions and make informed maintenance decisions.
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The Harvey 3 measurement device
- 4. Scientific depth on demand: Beyond automated algorithms
Automated algorithms mostly provide valuable indicators of developing damage, primarily within the P-F interval. They help identify that something is changing, but usually do not establish why. Understanding the underlying causes and their implications for machine reliability requires cross-domain engineering expertise.
IAAS combines remote data delivery with that specialist expertise. Our engineers examine how electrical and mechanical behaviour interact across the driveline, going beyond damage indicators to identify the root-cause and the conditions that can initiate degradation. This turns measurement data into an understanding of machine reliability and targeted recommendations for improvement.
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Electrical Signature Analysis (ESA) at distance:
By processing high-resolution voltage and current spectra remotely, our specialists evaluate power quality compliance, detect negative-sequence heating, and evaluate rotor bar integrity without interrupting production.
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High-frequency problems & bearing current detection:
Evaluating parasitic discharge patterns across bearing raceways before mechanical frosting, washboard patters or EDM tracks occur.
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Torsional & dynamic interaction
Resolving whether mechanical resonance is excited by structural soft foot, hydraulic turbulence or drive control loop hunting.
- 5. Strategic lifecycle integration
Lifecycle moment / Sscenario | Operational reality | Value of IAAS & Harvey |
Offshore, dredging & remote plants | Mobilizing diagnostic experts offshore or across continents requires massive lead time and helicopter/vessel logistics. | With Harvey available on-site, local crews collect data when operating conditions allow, without mobilizing a diagnostic specialist for each measurement. |
Turnarounds & major overhauls | Multiple assets restart simultaneously; in-house teams are overloaded and third-party specialists cannot be everywhere at once. | Local teams collect baseline measurements as machines return to service. ORBITS analyses the data to identify conditions that may compromise reliability after the overhaul. |
Intermittent / transient faults | Abnormal noise or thermal spike occurs sporadically during off-hours or specific batch recipes. | Local personnel capture data when the relevant operating conditions occur, allowing ORBITS to investigate phenomena that may be absent during a scheduled site visit. |
Periodic asset screening | Full outsourced CM contracts are costly, yet critical drivelines require deep periodic health screening. | Structured screening at intervals matched to the machineās risks and operating conditions, providing targeted recommendations to address harmful conditions before damage develops. |
- 6. The ORBITS ecosystem: Independent expertise
Insight as a Service fits seamlessly alongside our existing diagnostic solutions:
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Machine Fault Analysis
The scientific approach to solve acute problems with advanced diagnosis.
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Machine Health Scan
A proactive screening to detect abnormal conditions before degradation occurs.
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Reliability Impact Analysis
An in-depth audit testing whether your maintenance plan, organization, and spare parts inventory are optimally aligned with the actual risk profile of your assets.
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Insight as a Service
Utilizes the "Harvey" system, decoupling measurement time from expertise time. This is the ideal solution for remote or hard-to-reach assets, where data is collected locally and translated into action by our remote experts.
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Training
We secure knowledge within your organization so your team learns to speak the language of the machine and recognize failure mechanisms faster.
Across these services, our role remains the same: to provide independent insight into what your machines need to operate reliably. Our assessments and recommendations are based on diagnostic findings and the operating context, independent of equipment brand or supplier
Conclusion: Eliminate physical boundaries to asset reliability
A machine's operational availability should never be compromised by geographical distance or specialist availability. By decoupling the measurement from the analysis, Insight as a Service empowers industrial organizations to capture high-value diagnostic data at the exact moment of opportunity, backed by the deep cross-domain insight of ORBITS.
The result is more than an indication of machine condition: it is insight into the underlying causes and harmful conditions, with clear recommendations to improve reliability.
The result is more than an indication of machine condition: it is insight into the underlying causes and harmful conditions, with clear recommendations to improve reliability.
Stop letting logistics dictate when you can assess your critical machines. Deploy Insight as a Service on your critical and remote assets. Contact ORBITS today at info@orbits.be or visit www.orbits.be to discover how Harvey can protect your operations.