Pump Fault Detection via Motor Current Frequency Analysis
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Solution Overview
Problem
Current methods for diagnosing pump faults, such as monitoring vibrations and noise, are expensive and difficult to implement on-site, requiring additional transducers and elaborate signal processing, and are not effective for complete pump monitoring.
Innovation Solution
A pump monitoring apparatus that uses sensors to measure the current of an electric motor, transforming the time-based signal into a frequency-based signal using algorithms like Fourier Transform to identify signal patterns indicative of pump fault conditions, allowing for self-diagnosis and fault prediction without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vibration and noise monitoring methods are used to diagnose pump faults, then diagnostic capability is improved, but device complexity and cost increase due to requiring additional transducers and elaborate signal processing devices
Solution Approach 1:
The motor serves itself as a sensor by analyzing its own current consumption patterns. The monitoring apparatus utilizes electrical parameters already present in the motor's operation to detect mechanical faults, eliminating the need for separate vibration and noise sensors. This self-service approach allows the motor to provide diagnostic information about pump conditions without external transducers.
Solution Approach 2:
The patent replaces mechanical vibration sensors and acoustic noise detectors with electrical current analysis. By substituting mechanical measurement systems with electrical parameter monitoring, the solution achieves fault diagnosis capability while significantly reducing device complexity and eliminating the need for elaborate signal processing hardware.
2Measurement precision
If multiple vibration transducers are deployed at various pump locations for complete monitoring, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The motor's current measurement serves multiple diagnostic functions simultaneously. A single electrical parameter monitoring system provides comprehensive information about pump conditions, replacing what would otherwise require multiple specialized sensors at different locations. This multi-functional approach achieves complete monitoring coverage while maintaining simple device architecture.
Solution Approach 2:
The electrical current acts as an intermediary that carries information about mechanical pump conditions. By analyzing the motor's current consumption patterns, the system indirectly detects pump faults without requiring direct mechanical contact or multiple physical sensors at various pump locations. This intermediary approach simplifies the monitoring system while maintaining diagnostic completeness.
3Reliability
If traditional vibration monitoring is implemented on-site, then fault detection capability is improved, but ease of operation deteriorates due to difficulty of implementation
Solution Approach 1:
The existing motor and its control system perform self-diagnosis by analyzing their own operational parameters. This eliminates the need for external monitoring equipment installation and complex setup procedures, making the solution easy to implement on-site while maintaining strong fault detection capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and cost-effective identification and prediction of pump faults by analyzing the frequency-based signal patterns, correlating with operating parameters to infer the source of the fault, thereby facilitating proactive maintenance.
Implementation Method 1
transform the time-based signal into a frequency-based signal
Data Source
AI summary
A monitoring apparatus comprises at least one sensor for measuring a current of the electric motor to generate a time-based signal and at least one electronic processor configured to transform the time-based signal into a frequency-based signal and to analyse the frequency-based signal to identify a signal pattern representing a pump fault condition. By monitoring the frequency-based signal, the monitoring apparatus can identify a pump fault condition.