Understanding gear module is essential for selecting the right gear. This guide explains what gear module is, how it affects tooth size, torque capacity, gear strength, and compatibility, how to estimate it from an existing gear, and why choosing the correct module is a critical engineering decision rather than a simple catalog selection.
Think your PT100 sensor has failed because your PLC is displaying the wrong temperature? The problem may not be the sensor at all. This article explains the differences between RTD, PT100, PT1000, thermocouples, and thermistors, compares 2-wire, 3-wire, and 4-wire RTD connections, and demonstrates how cable resistance alone can introduce temperature errors of several degrees. Learn how to select the right RTD sensor, probe construction, and wiring method for accurate and reliable temperature measurement.
GNSS spoofing has become one of the most significant threats to autonomous navigation systems. Unlike GNSS jamming, spoofing delivers false positioning data that appears completely legitimate, making it far more difficult to detect. This article explains how Sensor Fusion and high-performance IMUs help identify navigation inconsistencies, why inertial navigation has become increasingly important in GNSS-degraded environments, and which IMU characteristics matter most when designing reliable autonomous systems.
Wireless footswitches are rapidly becoming the preferred choice for portable medical equipment. Discover how they improve ergonomics, simplify infection control, reduce cable-related failures, support IEC 60601-1 / UL 60601-1 compliance, and help OEMs design more reliable ultrasound, laser, dental, rehabilitation, and aesthetic medical systems.
When engineers hear the term Redundant Rotary Position Sensor, many assume it simply provides a backup in case one channel fails. In reality, modern Redundant Output sensors offer far more than redundancy. By continuously comparing two independent output channels from a single sensor, control systems can detect developing faults, validate position feedback in real time, and improve overall system reliability. This article explains how dual-channel rotary position sensors support early fault detection, why they are increasingly used in industrial automation, medical equipment, and mission-critical systems, and how they help engineers move from reactive maintenance to proactive diagnostics.
Artificial intelligence can decide which drone to track next. But only accurate position feedback and inertial sensing can ensure the system actually gets there. Discover why rotary position sensors, environmental sensors and tactical MEMS IMUs have become essential building blocks of modern Counter-UAS swarm defense.
Modern military platforms rely on far more than powerful radars and advanced mission computers. Behind every mission-critical system is a power distribution architecture that must remain stable under extreme electrical and environmental conditions. This article explains why selecting the right circuit breaker involves much more than matching the current rating, and how factors such as inrush current, trip curves, thermal performance, and system design can determine whether a platform continues its mission or unexpectedly shuts down.
A high-energy laser weapon is far more than a powerful beam. Its effectiveness depends on the seamless integration of power delivery, thermal management, and Line of Sight stabilization. This article explores the engineering behind modern laser interception systems and explains why reliable performance is determined not only by laser output, but by the ability to deliver energy, dissipate heat, and keep the beam precisely focused throughout every engagement.
Detecting a drone is only the first step. The real challenge is keeping it centered within the field of view while both the drone and the sensor platform are moving. This article explains how gyroscopes, inertial sensing, latency, bandwidth, and control loops work together to determine whether a Counter-UAS system maintains reliable target tracking throughout the mission.
A 360° rotary position sensor may seem like the safest choice, but if the mechanism only moves through 60°, 85°, or 120°, that assumption can reduce the effectiveness of the entire measurement system. This article explains why matching the sensor’s programmed measurement range to the mechanism’s actual travel can improve effective sensitivity, simplify calibration, and make better use of the available electrical output, all without changing the mechanics, electronics, or control software. Using a real-world AM-RSS application as a case study, we demonstrate how a simple configuration change can significantly improve overall system performance.
