Vibration Diagnosis Section Selection for Motor Abnormality Detection
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Solution Overview
Problem
Existing diagnosis systems for devices like motors and gear motors lack accuracy in abnormality and lifetime diagnosis, as they often rely on all vibration information without distinguishing suitable sections for diagnosis.
Innovation Solution
A diagnosis system that includes sensors to detect vibration information and a processing unit to specify suitable sections based on motor current value or rotating speed, allowing for targeted diagnosis using methods like peak value, effective value, FFT, and H-FFT diagnoses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all vibration information is used for diagnosis, then the diagnosis system can process more data, but the diagnosis accuracy deteriorates due to inclusion of unsuitable sections with high vibration variation
Solution Approach 1:
The vibration information time series is divided into multiple sections based on operation states (e.g., acceleration, constant speed, deceleration). The diagnosis processing unit selectively applies diagnosis methods only to suitable sections (e.g., constant speed section), excluding unsuitable sections with high vibration variation. This segmentation approach improves diagnosis accuracy by focusing on stable operation phases while avoiding noise from transient states.
Solution Approach 2:
Different diagnosis methods are applied to different sections of vibration information based on local characteristics. For example, peak value diagnosis is applied to constant speed sections where vibration patterns are stable, while other sections are excluded or processed differently. This local quality approach ensures that each section is processed according to its specific characteristics, maximizing diagnostic reliability.
2Measurement precision
If diagnosis is performed on all operation sections, then complete coverage is achieved, but detection accuracy deteriorates due to irregular load conditions and vibration variations
Solution Approach 1:
The diagnosis processing unit performs preliminary classification of vibration information sections before applying diagnosis methods. It identifies suitable sections (e.g., constant speed sections with stable vibration) and prepares them for accurate diagnosis, while excluding unsuitable sections. This preliminary action ensures that only reliable data is used for abnormality detection, improving both accuracy and consistency of results.
Solution Approach 2:
The system changes the parameter of section selection based on operation state parameters (e.g., motor current value, rotating speed). By monitoring these parameters, the system dynamically identifies and selects sections with stable characteristics suitable for diagnosis, adapting to varying load conditions and maintaining consistent diagnostic reliability across different operating scenarios.
Data Source
AI summary
A diagnosis system includes a sensor that is provided in a diagnosis target device and detects diagnosis target information on the diagnosis target device, and a diagnosis processing unit that executes diagnosis processing of the diagnosis target device based on the diagnosis target information detected by the sensor. The diagnosis processing unit specifies a section of diagnosis target information suitable for the diagnosis processing based on section specifying information, and executes the diagnosis processing based on the diagnosis target information in the specified section.