Sensor reliability depends on more than correct product specification. It requires structured maintenance to be carried out diligently. This involves practices such as onboard diagnostics, echo curve analysis, scheduled physical inspections, and calibration integrity verification.
In this way, operators can ensure consistent measurement performance across the asset lifecycle, VEGA recommends, while also highlighting how it supports maintenance managers.
Selecting the correct level measurement sensor with precision is only one part of the task; ensuring that it is working optimally is an entirely different one.
That’s why Miguel Petersen, VEGA Regional Marketing Manager, stresses that it is paramount to have a comprehensive maintenance plan firmly in place to enhance and consistently sustain sensor reliability beyond commissioning.
Otherwise, overlooking this equally critical aspect increases the risk of the much-dreaded downtime. This is something no plant maintenance team can afford while chasing production targets.
The structured approach
For this reason, a structured approach is pivotal to implementing a comprehensive maintenance plan, which ensures that sensors work optimally over their operational lifetime.
“The structured approach combines the intelligence built into modern digital sensors with disciplined maintenance practices and the right support framework,” Petersen states, specifically highlighting the role of onboard diagnostics.
Onboard diagnostics
VEGA’s radar sensors continuously self-monitor and report diagnostic data alongside the process measurement. The radar sensors capture parameters such as signal quality, echo curve integrity, device temperature, and electronics status in real time via digital communication protocols. In modern industry, efficient and reliable communication between different devices and systems is crucial. Industrial communication protocols and output signals such as IO-Link or Ethernet-APL form the backbone of this networking by enabling efficient data transmission and processing. Selection of the right protocol and output signal not only affects performance and reliability, but also the scalability and flexibility of an industrial system. “This means condition monitoring begins at the sensor itself, without requiring additional hardware or manual inspection,” explains Petersen, emphasising the importance of built-in intelligence in modern instrumentation.
Regular echo curve review
One of the most valuable condition monitoring practices in radar measurement is the periodic review of the echo curve, which is the signal profile the sensor sees across the full measurement range.
Over time, changes in the echo curve can reveal developing issues such as build-up on the antenna, shifting false echoes from vessel internals, or gradual signal attenuation, explains Petersen. “Clients who incorporate echo curve checks into their routine maintenance schedules are consistently better positioned to catch problems early, before they affect measurement reliability.”
Remote monitoring via VEGA Cloud
For mining operations managing instrumentation across large or remote sites, VEGA’s cloud connectivity solutions allow sensor health and process data to be monitored centrally and continuously. “Anomalies identified from the data can trigger alerts. This allows maintenance teams to respond to developing issues without waiting for a scheduled inspection round or a process alarm. This capability significantly extends the effective reach of a maintenance team without increasing headcount,” Petersen explains, highlighting the shift towards data-driven maintenance strategies.
Scheduled physical inspections
To ensure that no anomaly goes undetected, remote and digital monitoring should be combined with scheduled physical inspections.
Petersen sheds further light on the significance of physical inspections: “Notwithstanding the value of remote and digital monitoring, periodic physical inspection remains an important part of any maintenance programme. For radar sensors, this typically includes checking antenna condition for scaling or contamination, verifying process connections and seals for integrity, and confirming cable and housing condition, as well as cleaning where necessary.
“The frequency of these inspections is determined by the severity of the operating environment; more aggressive conditions require more frequent checks.”
Calibration verification
Given the significance of the data in plant reliability, there is no margin for error. The question should always be: “Can the measurements be trusted?”
Typically, radar sensors do not require calibration in the traditional sense. However, periodic verification against a known reference, either a physical measurement or a comparison against a secondary instrument, confirms that the sensor continues to perform within specification. This is particularly relevant in regulated applications where measurement accuracy underpins compliance reporting.
Configuration backup and change management
VEGA recommends that sensor configurations are documented and backed up using PACTware or the VEGA Tools app. This practice protects against data loss during sensor replacement and ensures that any configuration changes are recorded and traceable, Petersen emphasises. “Documenting and backing up data is an important discipline in plant environments where multiple technicians may interact with instrumentation over time, ensuring continuity and reducing risk during maintenance interventions.”
Training and competency
While advanced tools enable predictive maintenance, the reality is that condition monitoring is only as effective as the people interpreting the data, Petersen states. “VEGA supports clients with training on sensor technology, diagnostic interpretation, and configuration management, ensuring that maintenance teams have the knowledge to act correctly on what the instrumentation is telling them.”
Managed, predictive
By and large, VEGA has observed that a well-structured condition monitoring programme transforms sensor maintenance from an unplanned, reactive activity into a managed, predictable function, Petersen concludes. “In mining, water and wastewater treatment, where instrument failure can mean pump damage, process disruption, environmental non-compliance or safety risk, this shift from reactive to proactive has measurable value for plant reliability, operational continuity, and total cost of ownership.”
