From test instruments to fleet reliability tools

Compact flight recorders like the Calculex 1402 make it simple to add high-powered predictive maintenance capability.

Key takeaways

  • Flight recorders developed for instrumentation are increasingly used to monitor aircraft reliability, turning digital communications between aircraft systems into actionable maintenance information that can save millions in maintenance costs and keep more aircraft mission ready.
  • The 1400 RIPR family offers compact, modular recorders. The Model 1401 stacks with different data input modules to build platform-specific configurations from off-the-shelf, qualified hardware, and the Model 1402 moves from SATA to NVMe storage for greater speed and capacity plus data-at-rest encryption.
  • Both models use the IRIG 106 open standard with a STANAG 4575 directory system, organizing inputs such as ARINC 429, MIL-STD-1553B and high-speed Ethernet into one channel list.
  • Precise timestamps let analysts and AI/ML tools examine the exact state of multiple systems at any moment in a flight.
  • Combined with Spectra computing and display technology and Parraid software, the recorders anchor an integrated data collection, processing and visualization system that supports predictive maintenance and digital twins.

Flight recorders developed for instrumentation are starting to be used to monitor and provide information to improve an aircraft’s reliability. By capturing and analyzing digital communications between aircraft systems, this approach can turn complex data streams into actionable maintenance information, potentially saving millions in maintenance costs while keeping more aircraft mission ready.

Collecting data that’s immediately turned into useful information is a game changer, and Calculex has several models well suited for these applications. Our 1400 RIPR family of recorders features compact, modular units capable of capturing vast quantities of data and integrating it with analytics software. Developed for newer jets, the Model 1401 can be stackable with different data input modules to create a platform-specific configuration from off-the-shelf, qualified hardware. The Model 1402 increases the data storage protocol from SATA to NVMe, enabling a big jump in speed and total capacity while enabling data-at-rest encryption.

These highly adaptable systems are poised to transform how maintenance crews identify, predict and address potential aircraft failures.

Both devices utilize an IRIG 106 open standard for command, control, and data formatting. This standardized approach uses a STANAG 4575 directory system that organizes various data inputs — from analog voltage-level to digital ARINC 429 and MIL-STD-1553B bus data and high-speed Ethernet — into a comprehensive channel list. They can also record on removable memory modules (RMMs) as a Net Attached Storage in Network File System Format.

How it works

When recording begins, a file table defining these channels is written to the removable memory module. The recorder then captures each input, encapsulates it in a packet with a precise timestamp, and stores it sequentially. This time-correlation is crucial, as it ensures that all data with the same timestamp represents a synchronized “slice” of information across all channels. This enables analysts and modern artificial intelligence (AI) and machine learning (ML) tools to examine the exact state of multiple systems at any given moment during the flight.

To augment this capability, Calculex and our other Spectra Aerospace and Defense business units — Galleon Embedded Computing and ArgonFDS — have built a comprehensive data collection, recording, processing and visualization integrated system, with Calculex recorders at the core. This modular system is more than just a recorder; it is a data acquisition, processing, and decision-making ecosystem.

Our data processing and visualization software partner, Parraid, contributes to the capability with real-time data translation and on-platform, operations center user interfaces.

Improving mission readiness

The U.S. Air Force is prioritizing predictive maintenance and logistics to improve mission readiness across both legacy and new aircraft fleets. To facilitate this construct, full platform datasets are collected, offboarded and analyzed using the power of AI/ML in the cloud to predict component failures before they happen. These data sets enable the application of digital twins, where live and virtual platforms work in parallel to diagnose issues, establish maintenance schedules, and drive logistics based on operational data.

Originally designed for flight test instrumentation, these highly adaptable systems are poised to transform how maintenance crews identify, predict and address potential aircraft failures before they cause mission impacts or costly emergency repairs. The 1400 series of recorders and the full ecosystem of Spectra Aerospace and Defense — plus Parriad products and software tools — enable integration on any platform to make a big impact on fleet readiness.

Moving from crisis maintenance to predictive maintenance is a sure-fire way to save money, reduce downtime and increase service life. The fact that it’s a relatively simple and inexpensive addition to just about any fleet makes it highly likely we’ll see a lot more of this in the future.

Frequently asked questions

Why are flight test recorders being used for fleet reliability?
Recorders developed for flight test instrumentation capture and analyze digital communications between aircraft systems. That turns complex data streams into actionable maintenance information, which can reduce maintenance costs and keep more aircraft mission ready. Because the systems are off-the-shelf, qualified and adaptable, they can be added to a wide range of platforms.

What is the difference between the RIPR Model 1401 and Model 1402?
Both are compact, modular recorders in the 1400 RIPR family. The Model 1401 was developed for newer jets and can be stacked with different data input modules to create a platform-specific configuration. The Model 1402 increases the data storage protocol from SATA to NVMe, which brings a significant jump in speed and total capacity and enables data-at-rest encryption.

How does time-correlated recording work?
When recording begins, a file table defining the channels is written to the removable memory module. The recorder then captures each input, encapsulates it in a packet with a precise timestamp and stores it sequentially. Data with the same timestamp represents a synchronized slice across all channels, so analysts and AI/ML tools can examine multiple systems at any given moment during the flight.

What data formats and inputs do the recorders support?
Both models use the IRIG 106 open standard for command, control and data formatting, with a STANAG 4575 directory system that organizes inputs into a channel list. Inputs range from analog voltage-level signals to digital ARINC 429 and MIL-STD-1553B bus data and high-speed Ethernet. The recorders can also record to removable memory modules as network attached storage in Network File System format.

How does this data support predictive maintenance?
The U.S. Air Force is prioritizing predictive maintenance and logistics across legacy and new aircraft fleets. Full platform datasets are collected, offloaded and analyzed with cloud-based AI/ML to predict component failures before they happen. The data also supports digital twins, where live and virtual platforms work in parallel to diagnose issues, establish maintenance schedules and drive logistics from operational data. Parraid contributes real-time data translation and operations center user interfaces to the system.