Diagnose Early. Act Smart. Stay Energized. With DIAGNOVOLT
DV is a technology-driven company specializing in advanced sensor systems, diagnostic equipment, and intelligent software platforms for condition monitoring of high-voltage assets in substations. Our mission is to empower utilities and asset managers with the tools they need to ensure reliability, safety, and long-term performance of critical infrastructure involving high-voltage assets.
DV aims to deliver end-to-end solutions that enable early fault detection and predictive maintenance strategies. Our innovative sensor systems are built to operate in the most demanding environments, while our intuitive software provides actionable insights through real-time analytics and historical trend analysis, enhancing predictive maintenance capabilities.
Whether for brownfield retrofit or new grid modernization projects, DV solutions are trusted by utilities, OEMs, and engineering firms worldwide. By focusing on predictive intelligence, we help reduce unplanned outages, optimize maintenance cycles, and extend the life of high-value electrical assets.
Assets
Underground Power Cables
Cables are the most extensively used high-voltage assets in medium and high voltage (MV/HV) networks, making their failure a major cause of system-wide downtime and disruption. Cable accessories—such as joints and terminations—are the most vulnerable points in the cable system and require continuous monitoring through sensor systems for reliability, highlighting the importance of predictive maintenance.
HV GIS
In gas-insulated switchgear (GIS), partial discharge defects can arise from voids or de-laminations within barrier insulators, as well as from floating metallic particles and sharp protrusions on conductors. These defects compromise the integrity of insulation in high-voltage assets and can evolve into critical failures if not detected early. Regular predictive maintenance, including PD monitoring, is essential for identifying such issues and ensuring the long-term reliability of GIS systems through advanced sensor systems.
HV Oil Filled Power Transformer
Transformers are among the most vital components in high-voltage assets, and their reliable operation is essential for system stability. Online Partial Discharge (PD) monitoring, a key aspect of predictive maintenance, provides early detection of insulation defects, helping prevent costly and catastrophic failures. Insulation breakdowns in large power transformers can lead to prolonged outages and pose significant safety risks to surrounding substation infrastructure, making effective sensor systems crucial for monitoring.
Dry Type / Cast Resin Tx
Dry-type transformers are relatively easy to test or monitor for partial discharge (PD), utilizing an approach similar to that used for air-insulated switchgear, which is essential for maintaining high-voltage assets. When PD occurs within internal components, it generates high-frequency signals that propagate along earthed metal panels to the equipment’s exterior. A TEV (Transient Earth Voltage) sensor placed on the outer surface can effectively detect these signals, enabling non-intrusive PD monitoring and supporting predictive maintenance through early fault identification.
MV GIS Switchgear
When switchgear fails, it can significantly impact the entire power network, resulting in unplanned downtime and increased operational costs. To ensure the reliability of high-voltage assets, specialized sensor systems and monitoring solutions are essential for assessing the condition of switchgear and its critical components, such as cable terminations. Continuous partial discharge monitoring facilitates early fault detection, which is crucial for preventing failures and enhancing predictive maintenance strategies.
MV AIS Switchgear
Air-insulated switchgear (AIS) is susceptible to various issues such as surface tracking, loose high-voltage contacts, and internal voids that can lead to partial discharge (PD) activity. This PD can also develop in bushings, instrument transformers, and cable terminations within the switchgear assembly, affecting high-voltage assets. Implementing predictive maintenance strategies and utilizing advanced sensor systems for early detection of these defects through PD monitoring is crucial to prevent insulation breakdown and maintain safe, reliable operation.
Rotating Machines
Rotating Machines
Rotating Machines
Rotating machines are often among the most production-critical assets in an industrial network, particularly high-voltage assets, and their failure can bring operations to a complete standstill. Common sources of partial discharge include voids, delamination in stator winding insulation, and slot discharges. If left unaddressed, these insulation defects accelerate aging and significantly increase the risk of failure—leading to costly downtime and loss of productivity. Implementing continuous PD monitoring through advanced sensor systems helps detect these issues early, enabling predictive maintenance and ultimately extending machine life.