Active Vibration Insulator Malfunction Detection via Transfer Function
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Solution Overview
Problem
Conventional active vibration insulators face challenges in reliably detecting malfunctions in electromagnetic actuators due to difficulties in setting threshold values for residual vibrations, leading to increased manufacturing costs and inaccurate judgments.
Innovation Solution
An active vibration insulator that uses an estimated transfer function to judge the operational status of electromagnetic actuators, calculating gain and phase components to determine malfunctions without requiring a band-pass filter, thereby reducing costs and improving reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a band-pass filter is used to extract specific-range frequency components from residual vibrations for malfunction judgement, then the accuracy of malfunction detection is improved, but the manufacturing cost is significantly increased
Solution Approach 1:
The patent extracts only the necessary information (maximum value timing and cyclicity) from the residual vibration signal without using a band-pass filter. By taking out only the essential features needed for malfunction detection, the system achieves accurate malfunction judgment while avoiding the high manufacturing cost associated with frequency filtering components.
Solution Approach 2:
The patent replaces the mechanical/electrical band-pass filter system with a computational approach. Instead of using physical filtering components to extract frequency information, the system uses digital signal processing to analyze the timing and cyclicity of maximum vibration values, substituting a complex hardware system with a simpler software-based solution.
2Reliability
If a low threshold value is set for maximum value of residual vibrations, then false negative judgments are reduced, but false positive judgments increase because non-engine vibration components are included
Solution Approach 1:
The patent uses dynamic analysis by examining the cyclicity pattern of maximum vibration values over time. Instead of relying on a static threshold value, the system dynamically assesses whether the timing intervals between maximum values match the engine's vibration cyclicity, allowing reliable malfunction detection without being affected by non-engine vibration components.
Solution Approach 2:
The system incorporates feedback by continuously monitoring the cyclicity of maximum vibration values and comparing it with the known engine vibration pattern. This feedback mechanism allows the system to distinguish between engine-related vibrations (indicative of actuator malfunction) and other vibration sources, improving both reliability and accuracy.
3Measurement precision
If a high threshold value is set for maximum value of residual vibrations, then false positive judgments are reduced, but false negative judgments increase because engine vibration components might not be extracted
Solution Approach 1:
The patent performs preliminary analysis by establishing the engine's vibration cyclicity pattern before conducting malfunction detection. By having this reference information ready in advance, the system can accurately identify when maximum vibration values correspond to engine vibrations, ensuring reliable detection without requiring an excessively high threshold that might miss subtle malfunctions.
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
The solution securely detects inoperative malfunctions in electromagnetic actuators by consistently calculating transfer functions, reducing manufacturing costs and enhancing judgment accuracy, while ensuring the system operates effectively without causing audible vibrations or noise.
Implementation Method 1
an electromagnetic actuator for generating vibrating forces depending on electric-current supplies
Data Source
AI summary
An active vibration insulator includes an electromagnetic actuator, a control-signals generating device, a driver, a calculator, and a judging device. The electromagnetic actuator generates vibrating forces depending on electric-current supplies. The control-signals generating device generates cyclic control signals based on cyclic pulsating signals output from a vibration generating source of a vehicle. The cyclic control signals actively inhibit vibrations generated by the vibration generating source from transmitting to a specific part of the vehicle. The driver drives the electromagnetic actuator by making the electric-current supplies variable based on the cyclic control signals. The calculator calculates an estimated transfer function composed of estimated values of a transfer function for a transfer system including the electromagnetic actuator and the driver. The judging device judges an inoperative malfunction of the electromagnetic actuator based the estimated transfer function.