Research Facilities > Instrumentation
Contact Information
General Research Facilities
- Anechoic Chamber
- Drafting & Design
- High Pressure Testing
- Instrumentation
- Machining
- Modeling
- Navigation
- Tunnels
Program-Specific Facilities
- Acoustics Research
- Acoustic Reverberant Tank
- Acoustic Test Tank
- Computing Services
- Environmental
- Scanning Laser Vibrometry
- Materials Processing
- Pump Loop Facility
- Nuclear
- Vehicle Test Range
The SOA Division uses a number of specialized tools and facilities focused on advanced sensing and condition-based maintenance. Some of these resources were developed in-house; others represent state-of-the-art software and instrumentation tools that are commercially available. In addition, the division shares the resources of the Applied Research Laboratory, which includes 200,000 square feet of engineering and testing facilities.
Advanced Sensing & Control
Condition-Based Maintenance
- Mechanical Diagnostic Test Bed
- Diesel Enhanced Mechanical Diagnostic Test Bed
- Lubrication System Test Bench
- Bearing Prognostics Test Rig
- Torsional Test Rig
- Ball and V-Ring Test Stand
- Battery Prognostics Test Bench
- Complex Systems Monitoring Features Toolbox
- Systems Integration and Technology Transfer (SITT)Facility
- Failure Mode Effect and Criticality Analysis (FMECA)
Advanced Sensing & Control
To support advanced sensing and control, we have a large number of processors, real-time software development systems and advanced sensors and communications equipment for rapid prototyping of concepts. In addition, we have a wide variety of data acquisition boards, embedded system development kits, and associated electronics. Instrumentation includes DAT recorders, microphones with preamplifiers and portable power supplies, and speakerphones and pistonphones for microphone calibration, in addition to spectrum analyzers and digital oscilloscopes.
Outdoor Sound Propagation Test Range - Used to test acoustic and meteorological sensors, this range is equipped with a suite of meteorological sensors to completely characterize environment. Condition-Based MaintenanceThe following facilities enable the division to advance the state of diagnostics and prognostics through out the development, evaluation, and application of advanced sensing, reasoning, and modeling techniques.
| Mechanical Diagnostics Test Bed (MDTB)
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![]() Mechanical Diagnostics Test Bed |
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The MDTB can run components to failure, allowing researchers to collect data on temperature, vibration, and acoustic emission and analyze the findings using signal processing algorithms. The transitional failure data sets, which characterize fault inception and progression, are made available to the diagnostic community. |
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Diesel-Enhanced MDTB (DEMDTB)
Lubrication System Test Bench - Reproduces the salient aspects of gas turbine engine lubrication systems. Can be used to develop validated model-based diagnostic approaches for many fault types. Can simulate or produce lubricant degradation, contamination, internally or externally generated debris, flow blockage, and leakage--all important failure effects. |
![]() Lubrication System Test Bed |
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![]() Torisional Test Rig |
| Bearing Prognostics Test Rig - Generates bearing transition-to-failure data to support development of diagnostic and prognostic algorithms. These algorithms can benefit a wide range of applications and industries--nearly all rotating elements rely on some type of bearing. | |
| Battery Prognostics Test Bench - Used with a model-based battery diagnostics and prognostics approach developed by the CBM Department to accurately assess the condition (i.e., state of charge) and capacity (i.e., amp-hour) of primary batteries and predict the remaining useful life (i.e., number of cycles remaining) for secondary batteries. |
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| This test bench produces transitional data to validate the model's virtual parameters and feature vectors, enabling inferences to be made about the state of the system and the battery's potential failure modes. |
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| Condition-Based Maintenance Features Toolbox - A set of standard processing routines that incorporates a mix of traditional features and non-traditional, ARL-developed features. The toolbox precludes users from having to code feature routines for each application and eliminates variation in feature definition and implementation. |
![]() CBM Features Toolbox |
| It provides a straightforward interface, is easily expandable for new features, offers simplistic input/output file structures, and allows batch processing of features and data. | |
Integration Systems &Technology Transfer (SITT) Facility - Computer facility that supports information flow and coordination of research developments for common integration, test, evaluation, and demonstration of models, signal processing, and intelligent inference software. The SITT facilitates technology transfer and integration of externally developed technologies. It fosters the generation of black-box research products capable of being scaffolded to demonstrate end-to-end diagnostics capabilities.
Failure Mode Effect and Criticality Analysis (FMECA)






