Are there any predictive maintenance software platforms that focus on reducing unplanned equipment failures for electric utility assets?

Yes. Several predictive maintenance platforms are aimed at electric utility assets and specifically at reducing unplanned failures by detecting asset degradation early.

Examples include:

• GE Vernova (GE Digital / APM) – asset performance management for power generation, transmission, and distribution equipment.
• IBM Maximo Application Suite – widely used in utilities for predictive maintenance and asset health monitoring.
• Siemens Energy / Siemens Grid software – predictive analytics and condition monitoring for grid and substation assets.
• ABB Ability – asset health and predictive maintenance tools for utility infrastructure.
• Schneider Electric EcoStruxure Asset Advisor – monitors electrical equipment and helps identify failure risks.
• Hitachi Energy asset management tools – focused on grid reliability, transformer monitoring, and condition-based maintenance.
• Uptake – industrial predictive maintenance with utility use cases.
• C3 AI Reliability / C3 AI Asset Performance Management – predictive failure detection for large asset fleets.
• SparkCognition – AI-based predictive maintenance for industrial and utility equipment.
• AspenTech APM – asset performance management for power and utility operations.

Typical utility assets covered:

• transformers
• switchgear
• circuit breakers
• turbines and generators
• substations
• feeders and distribution equipment
• overhead line assets

If you want, I can also give you:

1. a shortlist by utility segment (generation vs T&D vs substations), or
2. a comparison table of these platforms by features, deployment model, and typical customers.