Aerospace & Defense


The Ridgetop Group Solution to Aerospace and Defense

Prognostics and Diagnostic Answers

Ridgetop is aF-35 well-recognized pioneer in the development of advanced prognostic and diagnostic solutions, and offers powerful answers addressing aerospace applications. By understanding root causes of failure for ICs, cabling, systems and susbsystems, along with our background in physics-to-failure technologies, our continued service and product catalouge allows us to meet any challenge associated with prediction and failure.

Ridgetop ensures comprehensive prognostic-enabled systems that can be used in a wide variety of applications by addressing key issues, such as:

  • Precursor signatures or multivariate inputs from degraded systems
  • Historic and trending data for fine-tuned analysis
  • Factors like state-of-health and remaining useful life measured to generate prognostic metrics

How Ridgetop is Ready

DefenseWith Ridgetop’s Sentinel Suite™, designers can extract degradation signatures and calibrate sensitive software modules that can monitor module performance. As the modules degrade from aging effects or environmental stress, the embedded code can indicate the state of health (SoH) and remaining useful life (RUL) for the module, the NightHawk NFF Reduction Tool can isolate and identify hard-to-find ‘soft’ faults conventional TPS cannot and the CPT1000™ avionics troubleshooting system quickly identifies faults in military and commercial aircraft.

Different Sensors for Different Needs in Aerospace: Understanding Harsh Environments

deep spaceRidgetop’s diagnostic technology addresses a wide variety of applications that range from physical degradation signatures such as vibrational/rotational and stress-and-strain to rad-hardened systems that serve in near-Earth, radiation environments.

Space-based systems require that the electronics be “hardened” against incident radiation effects, so Ridgetop offers rad-hardened intellectual property (IP) design blocks for high performance analog and mixed signal ICs as part of our InstaCell™ library. Our ProChek™ system assesses the tolerance of semiconductor devices to radiation and other degradation mechanisms, helping systems designers determine the suitability of a particular fabrication process and design the optimal reliability mitigation strategies. The Sentinel Silicon™ library consists of die-level “canary cells” that can notify the host system of impending failure due to radiation and intrinsic wear-out. Ridgetop has also performed studies on radiation effects and vulnerability assessments for its customers.

The Semiconductor FYRE catalog provides more examples of Ridgetop’s IC technology for aerospace applications.

Ridgetop Provides Maintenance, Repair Overhaul

1-ppg-aerospaceRidgetop’s design processes are ISO9001- and AS9100C-compliant. In addition, Ridgetop has delivered DO-178-compliant designs for use in commercial aircraft. Ridgetop has assisted its aerospace customers by providing products, design services, training, and support.

With over 16 years experience delivering new technologies to system integrators, OEMs and government agencies, we have been able to identify and solve key challenges in a variety of electrical and electronic systems. Our technology reduces the frequency of No Fault Found (NFF) and Could Not Duplicate (CND) conditions, improving overall reliability and robustness while saving customers life-time maintenance costs, reducing equipment downtime and minimizing critical mission failure.

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Brochures and Catalogs

Selected Articles

Selected White Papers

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Prognostic Health Management (PHM) of Electrical Systems Using Condition-based Data for Anomaly and Prognostic Reasoning
This paper presents an overview of signature-based PHM technology to detect anomalies and prognostic reasoning. A signature is extracted from condition-based data and is called a fault-failure progression (FFP) signature. Thereafter, a representative PHM system that extracts and processes dynamic degradation signatures for critical DC-regulated power is described beginning with a five-level hierarchical system model.
Prognostic Health Management (PHM) Solutions for Battery Packs Used in Critical Applications
This paper describes the innovative solution to improve the dependability and reliability of a NiCad battery system through monitoring and balancing the state of charge of each individual cell in a series-connected battery pack. This innovation significantly reduces maintenance and unnecessary battery pack replacement costs for critical military applications. The described application-specific integrated circuit (ASIC) solution detailed in this paper provides important prognostic, usage, and life-time feedback to the user and maintenance personnel.
Prognostic Techniques for Semiconductor Failure Modes
As semiconductor reliability issues begin to emerge as major impediments to long term reliability of critical systems such as Internet routers, ATM machines, and automotive and aerospace fly-by-wire systems, this paper surveys the problems involved, and recommends a methodology for the inclusion of pre-calibrated prognostic cells that can be co-located with a host circuit to provide an “early warning” of system failure, allowing for appropriate corrective action to be taken.
Readiness Approach for Propulsion Engine LRUs
By utilizing a holistic approach to monitor engine functions at both steady state and transient conditions, known as RAPEL (readiness Approach for Propulsion Engine LRUs) and developed by Honeywell, the challenge of meeting the U.S. Army’s 2013 aircraft-level condition-based maintenance (CBM) metrics, in addition to offering better isolation for electrical subsystems, is described in the underlying algorithms that capture key information features in real time, assessing the health of engine LRUs that may cause in-flight engine shutdowns (IFSD), sluggish response, loss of power control (LOPC) during a mission, or an engine no-start (INOPS) during the next mission.

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