Introduction of PHM system

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Brief introduction

PHM (Prognostic and Health Management) fault prediction and health management. Through algorithms and models to monitor, predict and manage the health status of the system.

The composition of PHM system 1. data acquisition

All kinds of sensors are used to detect and collect the relevant parameter information of the tested system, and the collected data are effectively converted and transmitted.

two。 Data inductive processing

Process the data information into an effective form or format that can be processed by subsequent components

3. State detection

The current state of the system is detected by comparing the data with a predetermined failure criterion, etc.

Provide fault alarm capability according to the threshold of various predetermined parameters.

4. Health assessment

Evaluate the health status of the system according to the data, generate fault diagnosis records and determine the possibility of failure.

5. Fault prediction and decision

Judge the future health status of the system according to the health assessment, and suggest and make decisions to take corresponding measures. Timely use before system failure

6. Guarantee decision-making

Man-machine interface:

Machine-machine interface:

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