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Insights on Debris Detection and Lubrication Monitoring

Three samples of ferrous wear debris increasing in size from fine powder, to flakes, to a broken gear tooth fragment

A Review of In-Situ Ferrous Debris Monitoring

From KasperAero's 2026 MPMA Fall Technical Meeting talk. How components fail, what debris tells us, the sensing families from legacy to emerging, who is in the market, and why magnet strength is only one of the ways an NZMS sensor improves on a chip detector.

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Oil sample being drawn into a bottle beside an inline debris sensor mounted in a flanged oil line, comparing offline laboratory sampling with inline sensing

Offline vs. Inline Oil Monitoring

Laboratory analysis and inline sensing measure different variables on different schedules. A side-by-side capability table, realistic turnaround times, a costed payback comparison, and the limitations of each method.

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Inline oil debris sensor in a flanged line beside an electric motor carrying a wireless vibration sensor

Vibration Monitoring vs. Debris Monitoring

Two ways to detect equipment failure, with a pros and cons breakdown of each. Where vibration analysis runs out of signal, where debris monitoring needs a fluid loop, and what the NASA and wind turbine research actually concluded about the two together.

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Compact KasperAero ferrous debris sensor with a single-bolt flange and twin O-rings, shown beside a US penny for scale

Debris Sensor Size vs Sensitivity

See how KasperAero’s NZMS-based debris detectors achieve unmatched sensitivity in a compact form factor, optimized for next-generation aircraft and drone applications where SWaP-C matters most.

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Disc style traditional magnetic chip detector used in aircraft engine and gearbox lubrication systems

NZMS vs Traditional Chip Detectors

See how KasperAero’s NZMS-based debris detectors stack up against traditional chip detector technologies such as the two prong and disc style magnetic chip detectors.

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Debris generation timeline chart plotting wear particle concentration and particle size against running time

Debris Generation Explanation

To protect systems and detect debris, the first step is understanding how debris is generated, which mechanical interactions produce each type, and how the rate of generation changes at different stages of failure.

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Patent certificate icon representing the ferrous debris detection patent landscape

State of the Art (Other Patents)

This article explores patents and existing technologies that address ferrous debris detection and fuel or oil system health monitoring. By reviewing how others have approached similar challenges, KasperAero provides context around the state of the art and helps customers understand the range of solutions available today.

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Render of a threaded KasperAero industrial ferrous debris sensor with a hex flange and red O-ring seal

Debris Detection
Techniques Compared

Discover the strengths and limitations of various debris sensing technologies, understand which are best suited for each application, and learn how the KasperAero NZMS represents a major advancement in affordable debris detection.

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C programming language logo, marking the embedded C reference for AVR tinyAVR microcontrollers

Embedded C Programming
Cheat Sheet AVR tinyAVR Series

A single-page quick reference for embedded C development on the ATtiny1616 and related AVR tinyAVR 0/1/2-series microcontrollers. Covers essential data types, preprocessor rules, GPIO port and pin control, bitwise operations, TWI/I²C master communication sequences, TMAG3001 Hall-effect sensor register map and mT conversion, common rookie mistakes, and MPLAB X live debug tips.

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