Drive System Operating State Estimation via Electrical Distribution Functions
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Solution Overview
Problem
Existing drive systems lack a reliable method for estimating their operating state, particularly in terms of wear, maintenance needs, and mechanical malfunctions, which can lead to unforeseen failures and costly repairs.
Innovation Solution
A method involving an electric motor and mechanical unit that uses defined electrical properties to generate a distribution function by measuring movement properties, allowing for the estimation of the system's operating state by comparing reference and actual distribution functions to determine maintenance requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no monitoring method is implemented, then the drive system operates without intervention, but unforeseen failures occur leading to costly repairs
Solution Approach 1:
The drive system performs self-diagnosis by using its own existing sensors and control unit to generate distribution functions and estimate its operating state. The system monitors itself without requiring external monitoring equipment, thereby improving reliability while avoiding additional system complexity.
Solution Approach 2:
The patent replaces complex mechanical monitoring devices with a software-based evaluation method. The control unit uses electrical properties and movement properties to generate distribution functions and estimate operating states through algorithmic processing, substituting physical monitoring hardware with computational analysis.
2Measurement precision
If comprehensive monitoring is implemented, then maintenance needs can be identified, but the system requires complex measurement and evaluation infrastructure
Solution Approach 1:
The control unit performs multiple functions: it controls the electric motor, acquires electrical properties, determines movement properties, generates distribution functions, and estimates operating states. This multi-functionality allows precise monitoring without adding separate dedicated monitoring hardware, thereby maintaining measurement precision while minimizing system complexity.
Solution Approach 2:
The system monitors changes in electrical properties (current, torque) and movement properties (position, speed, acceleration) over time by generating distribution functions at different time points. This parameter-based approach enables precise detection of operating state changes without requiring complex physical measurement infrastructure.
3Reliability
If the drive system operates without state estimation, then the system is simpler to operate, but mechanical malfunctions and wear cannot be detected until failure occurs
Solution Approach 1:
The control unit continuously acquires electrical properties, determines movement properties, generates distribution functions, and estimates operating states to provide feedback on the drive system's condition. This feedback mechanism enables failure prediction while maintaining operational simplicity, as the entire process is automated within the existing control unit without requiring manual intervention or complex user interaction.
Data Source
Figure 1~3
AI summary
Method of estimating an operating state of a drive system, - wherein the drive system comprises: - an electric motor, and - a mechanical unit being moved by the electric motor, - wherein the method comprises the steps of: a) operating the electric motor using electrical properties, b) determining movement properties regarding the movement of the mechanical unit using the electrical properties, c) repeating steps a) and b) for a number of times using changed electrical properties, d) generating a distribution function (F1 to F3), wherein the distribution function (F1 to F3) allocates electrical properties to the resulting movement properties, and e) estimating the operating state in response to the generated distribution function (F1 to F3).