Hall Effect Gear Tooth Speed Sensor - Wholesale Manufacturers

We offer a Hall Effect Gear Tooth Speed Sensor built for harsh industrial environments, ideal for Wholesale buyers and Manufacturers who need reliable, scalable speed sensing. This sensor uses a Hall effect principle to provide a clean digital or analog output from each gear tooth, giving precise RPM data even in noisy machinery. It features wide supply voltage range, robust IP65 sealing, high shock resistance, and a temperature tolerant design, perfect for automotive, manufacturing lines, or heavy equipment. Our production runs support bulk orders, short lead times, and customization options such as cable length, connector type, and housing materials. With compact form factor and easy mounting, it integrates with existing control systems and PLCs. For Wholesale and Manufacturers seeking cost efficiency, we offer competitive pricing, consistent supply, and quality assurance with CE/RoHS compliance. Partner with us for dependable speed sensing that reduces downtime, improves control, and simplifies maintenance across fleets and lines.

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Hall Effect Gear Tooth Speed Sensor Supplies the World\u2019s Top Brands Manufacturers You Can Rely On

Hall effect gear tooth speed sensors deliver precise, non-contact speed data for automation and motion control. They withstand harsh environments, offer fast response, and suit automotive, robotics, wind, and general industrial applications. Global buyers need consistent quality, traceable testing, and scalable supply to support long‑term programs. Key selection criteria include accuracy, temperature range, IP rating, shock and vibration tolerance, and reliable interfaces. Look for usable outputs (analog or PWM), easy signal conditioning, and alignment with gear teeth. A durable magnetic circuit minimizes drift and hysteresis over time. Beyond the device, a capable supplier offers engineering support, customization, predictable lead times, and clear QA documentation. Strong OEM/ODM capability, certifications, and transparent logistics reduce risk for multinational projects. A trusted partner accelerates time-to-value and lowers total ownership cost.

Hall Effect Gear Tooth Speed Sensor Supplies the World's Top Brands Manufacturers You Can Rely On

Model Gear Tooth Count Output Type Sensing Principle Operating Speed Range (RPM) Pulse per Revolution (PPR) Supply Voltage (V) Current Consumption (mA) Temperature Range (C) IP Rating Housing Material
GTS-LD-12 12 Open-Collector Hall Effect 1000–8000 12 5–24 20 -40 to 125 IP67 Aluminum with zinc plating
GTS-LD-24 24 Push-Pull Hall Effect 800–10000 24 5–24 18 -40 to 150 IP68 Stainless steel housing
GTS-LD-36 36 4–20 mA Hall Effect 1200–6000 36 9–24 25 -25 to 125 IP65 Aluminum body
GTS-LD-60 60 Open-Collector Hall Effect 1500–15000 60 5–24 22 -40 to 125 IP69K Stainless steel

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Hall Effect Gear Tooth Speed Sensor Trusted by Pros Winning in 2025

Data Dimension: Sensor Output vs RPM Across Temperature Variants

New Data Title: Temperature-Adjusted Output vs RPM Profile
This dataset demonstrates how the Hall effect gear tooth speed sensor produces an electrical signal as a function of rotational speed and operating temperature. The horizontal axis shows the engine or gear train speed in revolutions per minute (RPM), while the vertical axis represents the sensor output in millivolts (mV). Three temperature conditions are included: 25°C, 60°C, and 100°C, to illustrate how temperature affects signal amplitude and linearity. The RPM values were chosen to cover a representative operating range of common gear trains, from 1,000 to 6,000 RPM. The data points are synthetic but designed to follow plausible physical trends: higher RPM generally yields greater magnetic flux changes, resulting in larger voltage outputs; increasing temperature tends to reduce carrier mobility and magnetic saturation, leading to slightly lower output for the same RPM. The 25°C curve sits at the top across RPM, followed by the 60°C curve, and the 100°C curve remains the lowest. This pattern highlights the need for temperature compensation in real systems to preserve accuracy and reliability. From a data analytics perspective, this chart defines a core data dimension: the relationship between magnetic sensor output, mechanical speed, and temperature. It can be used to calibrate signal conditioning circuits, set tolerance bands, and evaluate the suitability of the sensor for different operating environments. The dataset can be extended with more temperatures, additional RPM points, or include noise profiles to simulate real-world conditions. While synthetic, the example demonstrates how multi-series line charts reveal interaction effects and help engineers identify where temperature compensation is most impactful. The chart also serves as a quick visual aid for field technicians to compare observed outputs with reference curves, supporting diagnostic workflows and maintenance planning. The main takeaway is that without compensation, a single calibration at one temperature may degrade accuracy elsewhere; thus, temperature-aware calibration improves system robustness and precision over the sensor’s lifecycle.

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