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Name: MCP37D11-80E/TE
Brand: Microchip Technology
SKU: MCP37D11-80E/TE
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Microchip Technology MCP37D11-80E/TE

Part No.:: MCP37D11-80E/TE

Manufacturer:: Microchip Technology

Package:: 121-TFBGA

Datasheet:: MCP37D11-80E/TE.pdf

Description:: IC ADC 12BIT PIPELINED 121TFBGA

In Stock:: 100

Quantity:: Add To Cart

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MCP37D11-80E/TE Specifications

Packaging:
Tray
Series:
Automotive, AEC-Q100
Product Status:
Active
Number of Bits:
12
Sampling Rate(PerSecond):
80M
Number of Inputs:
8
Input Type:
Differential
Data Interface:
SPI
Configuration:
MUX-S/H-ADC
Ratio-S/H:ADC:
1:1
Number of A/D Converters:
1
Architecture:
Pipelined
Reference Type:
Internal
Voltage-Supply Analog:
1.14V ~ 1.26V, 1.71V ~ 1.89V
Voltage-Supply Digital:
1.14V ~ 1.26V, 1.71V ~ 1.89V
Features:
-
Operating Temperature:
-40°C ~ 125°C

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MCP37D11-80E/TE information

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The application and technological advancement of MCP37D11-80E/TE in specific industries

MCP37D11-80E/TE is a high-precision analog-to-digital converter (ADC) integrated circuit manufactured by Microchip Technology. It offers 16-bit resolution and high sampling rates, making it suitable for a wide range of industrial and instrumentation applications.

Application Scenario:

In the energy sector, MCP37D11-80E/TE can revolutionize power quality monitoring systems, ensuring accurate measurement and analysis of electrical parameters.

Circuit Design:

To implement a power quality monitoring system using MCP37D11-80E/TE, follow these steps:

1. Sensor Interface:

Connect voltage and current sensors, such as voltage transformers and current transformers, to the analog input channels of MCP37D11-80E/TE. Proper signal conditioning circuits may be necessary to match sensor output levels to the ADC input range.

2. Data Acquisition:

Configure the ADC settings of MCP37D11-80E/TE to achieve the desired sampling rate and resolution for accurate data acquisition. Utilize the SPI or I2C interface for communication with the microcontroller or data logging system.

3. Signal Processing:

Implement digital signal processing algorithms to analyze the acquired data for power quality parameters such as harmonics, voltage fluctuations, and power factor. This may involve Fourier transforms, digital filtering, and statistical analysis.

4. Display and Reporting:

Display the analyzed power quality data on a user interface, such as an LCD display or through a web-based interface for remote monitoring. Generate reports or alerts based on predefined thresholds or anomalies detected in the power parameters.

5. Calibration and Maintenance:

Regularly calibrate the system to ensure measurement accuracy and reliability over time. Perform maintenance checks on sensors, signal conditioning circuitry, and data processing algorithms to maintain optimal system performance.

Considerations:

When designing the power quality monitoring system, consider the following factors:

- Sensor Accuracy: Select high-accuracy voltage and current sensors to ensure precise measurement of electrical parameters.

- Noise Reduction: Implement filtering techniques to reduce noise and interference in the acquired signals, ensuring accurate measurement results.

- System Integration: Integrate the power quality monitoring system with existing SCADA (Supervisory Control and Data Acquisition) or energy management systems for seamless operation and data exchange.

- Compliance Standards: Ensure that the system meets relevant industry standards and regulations for power quality monitoring and data reporting.

- Scalability: Design the system to be scalable, allowing for expansion to monitor additional power sources or accommodate future upgrades in sensor technology.

MCP37D11-80E/TE FAQ

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6. What is the process for return or replacement of MCP37D11-80E/TE?

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(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

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