CASTeC

Competitiveness & Growth

Status

Ongoing
Status date

2024-07-19
Activity Code

6B.079

Objectives

As of today, the increasingly high number of flying satellites will make impracticable for Satellite Controllers (SCs) to monitor effectively the health status of satellites, especially in constellations. The goal of this project is to develop CASTeC (Context Aware Spacecraft Telemetry Checking) as a software tool to support SCs tasks by automatically detecting anomalies, predicting failures, understanding the causes of these events and assessing the Remaining Useful Life of satellite components, with a view on the entire satellites constellation.

The objective of the CASTeC project is to attain full validation in an operative scenario (TRL 8) of the following key product capabilities:

Early identification of anomalies in the behaviour of the satellite considering the effect of different contexts, i.e. known operative conditions.
Identification of correlated events, thus enabling early fault isolation and mitigation strategies definition;
Identification of critical operative conditions that may affect satellites’ service performance;
Automatic estimation of the Remaining Useful Life.

The CASTeC project includes a validation process in which alpha customers use the tool, supporting the demonstration of CASTeC capabilities in an operational scenario.

Challenges

he key challenges are the following:

Validate on a variety of relevant scenarios CASTeC performance in the telemetry checking, in terms of rates of false and missed alarms and predictive capabilities, and in the identification of potential cause-effect relations among events;
Conceive and develop innovative and effective ways to investigate telemetry data and algorithms results;
Develop the product as a scalable and flexible multi-user and multi-mission tool that can be easily interfaced with different mission database;
Improve the commercial attractiveness of CASTeC, differentiating the product from the competitive landscape.

Benefits

With respect to potential existing competing solutions, the benefits of CASTeC are the following:

CASTeC provides predictive alerts on the status of entire constellations of satellites, based on a detailed analysis of each single telemetry of the constellation, producing a priority list of anomaly events, based on the CASTeC Index that gives a measure of the degree of anomaly;
CASTeC supports events troubleshooting by guiding the SC in the identification of potential cause-effect relations among events;
CASTeC implements interpretable Machine Learning methods developed by SATE, which is fundamental for the understanding of the reasons of a detected anomaly. This feature is hardly covered by State-of-the-Art Deep Learning of, more generally, Artificial Intelligence techniques typically exploited in this field.
The implemented algorithms do not need experts’ knowledge on Artificial Intelligence to be configured, but only limited information and knowledge to define the relevant operative conditions of the satellites.
CASTeC is a software module that can be easily interfaced with different ground segment operations platforms

Features

CASTeC main features are the following:

CASTeC characterises the expected behaviour of satellites based on an innovative method developed by SATE, named FETCH (FEaTure CHeckability).
FETCH extracts the features of the raw telemetries time series that are “checkable” in a specific context, thereby characterising their expected behaviour.
This brings to the automatic definition of checks to be applied to telemetries that are “parameter-specific” and “context-specific”.
The advantage of FETCH with respect to a conventional AI is that it is fully interpretable, thus the reasons for the anomalies identified can be explained and understood by engineers.

With CASTeC the user can:

Characterise the expected behaviour of the satellites of the constellation in the different operative contexts, based on historical data;
Run manual or scheduled checks on new telemetry and cause-effect analyses;
Monitor and understand the spacecraft behaviour during operations through the visualization of: raw parameters timeseries, derived features, CASTeC Index and events (such as telecommands). Users can navigate different plots and maps, set custom thresholds in order to see only parameters and features that raise a certain CASTeC Index value and analyse in detail the results. CASTeC may integrate Virtual or Augmented Reality and 3D visualisations developed in other projects, adapted and tailored for the application.

System Architecture

CASTeC is characterised by a typical three tier architecture composed by:

a Data Layer, responsible for accessing data from the mission database and storing internal results;
a Business Logic Layer, responsible for the execution of manual or scheduled core algorithms analyses;
a Front-end Layer, responsible for the visualisation of the information managed and produced by the core algorithms and providing configuration options to the users.

The product is intended to be a software module that can be easily interfaced with Ground Segment operations platforms.

The web-based implementation allows the installation of CASTeC on a shared (or external) machine and the investigation of the telemetry from any different location, through a web browser.

CASTeC can be used as standalone tool or integrated with other end users’ tools, through specific APIs, according to their needs.

The following figure represents an example of CASTeC integration with the Ground Segment.

Plan

The project comprises the following phases and milestone:

Definition Phase: requirements, software architecture, KPIs and application scenarios definition (Requirement Review)
Technology Phase: CASTeC enhanced and customised for constellation monitoring. Fine tuning of visualization tool and algorithms (Preliminary Design Review)
Product Phase: CASTeC installed and verified in a non-operational environment. (Critical Design Review, Test Readiness Review, Factory Acceptance Test)
Demonstration Phase: CASTeC installed and verified in an operational environment (Site Acceptance Test, Pilot Final Review).
Definition Phase (CCN activity): assessment of CASTeC for large constellations (WPDF500 Review).
Product Phase (CCN activity): Remaining Useful Life (RUL) estimate integration and validation (Final Review).

Current status

The Final Review was deemed successful. The software reached TRL 8 thanks to the validation activity performed in an operational scenario with external end users. The software is ready for commercialization.