SkySpecs Horizon 2022 Features Recap

2022 Horizon Features and Improvements

We’ve been busy building new features and functionality across the Horizon software platform this year. Below is a list of feature highlights we developed in 2022. If you have any questions, please reach out to us- we’d love to show you any of these features in the platform.

Horizon Blade & Fleet:

• Bulk edit for damages: Recategorize multiple damages in one go instead of one at a time
• Generic asset inspections capability: Upload generic asset data from other types of turbine part inspections, like drivetrain, tower, or transition piece (available with Fleet Management)
• Tasks on Any Asset (available with Fleet Management): Create tasks against non-blade components
• Custom Task Steps: capture detailed repair or inspection data within a task, provide detailed instructions for vendors and techs
• Increased file uploads: Horizon supports the uploading of up to 20 GBs at a time on average, which is approximately 5,700 image files (depending on file sizes).
• Template manager view: Edit and organize all task templates in a dedicated page
• Bulk creating tasks from multiple blades or multiple damages: Easily create similar tasks across a wide array of assets in one smooth action
• Multiple Custom Damage Schemas: Multiple tailored damage schemas available for those who need customized damages relating to their fleet
• Generic inspections: Horizon added the ability to track other types of assets, such as a transformer, nacelle, pitch bearing, etc. This is geared toward inspections that are not of blades, towers, or transition pieces.
• Standard dashboards: Horizon provides a set of standard dashboards so you can easily see things like total damages by site, severity, type, make, and model
• Improved user authentication: Improved login experience, additional site security and data protection.  For Sisense users, single sign-on is supported.   
• Work orders: Organize your repair campaigns and capture vendor hours concurrent with their repair progress
• Bulk upload: Clobotics users can now bulk upload Clobotics inspection and damage information upon request
• T-line inspections: T-line inspection functionality has been added, which includes the ability to perform t-line multipart uploads. Bugs have been squashed which should allow individuals to perform inspection uploads more easily.
• Field Work Management / Mobile: introduced a new mobile app to view work orders and tasks offline, capture photos for repairs, and upload directly to Horizon
• Bulk Edit/Add Collaborators: At the end of a campaign, add, edit or remove collaborators for multiple work orders in one smooth action
• Expanded the management of assets beyond blades: expanded component support beyond blades to include other major components such as the tower, transition piece, gearbox, generator, and many others.
• Component History: Horizon now logs all historical transactions against a component. These transactions include creation, relocation, and deletion.
• Component Swap: expanded the blade swap feature to support any type of component that does not have subcomponents.

Horizon CMS

• Component kinematics matching system: Select the installed components for a given turbine to identify characteristic frequencies and failure modes in the vibration data
• Fleet-wide alarm management and configuration: This includes rule-based alarm configurations that are applied automatically to matching turbines
• On demand signal processing transformations: Change your plot settings on the fly and apply our signal processing transformations, including Tracked Envelope Spectrum and Cepstrum 
• Diagnostic case system:. You can now access advanced reporting and more rich O&M advice. This is  a fundamental shift from being alarm/channel-centric to becoming fault/subcomponent-centric. 
• Sensor system support: We added support for SKF and Bently Nevada sensors. This connectivity is a key milestone, as it allows Horizon CMS to connect to all GE turbines.
• AI fault indicator technology released: The AI-based monitoring concept consists of a fault classification layer (the original AI models) and a fault indicator layer for 100% fault detection coverage. This reduces the number of indicators drastically to only one AI fault indicator per drivetrain subcomponent. This is a 15-20x reduction in alarm complexity.
• The Kaleidoscope AI library: Models are being deployed across sensor systems. To highlight a few:
  • Kaleidoscope Generator Bearing Model
  • Kaleidoscope ISS Bearing Model
  • Kaleidoscope Main Bearing Model