Bearing Monitoring via Electromagnetic Pulse Detection
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Solution Overview
Problem
Existing methods for monitoring the state of rolling bearings in electric machines, such as EC motors, are costly and inefficient, often leading to unpredictable bearing failures and high maintenance costs due to the inability to accurately assess bearing wear and damage without complex sensors or operational interruptions.
Innovation Solution
Monitoring the rolling bearing state by measuring high-frequency radio emissions resulting from spark formation between the bearing balls and track, using a receiving antenna to evaluate electromagnetic pulses and calculate mean value changes, which correlates with bearing damage, allowing for cost-effective and non-invasive assessment of bearing health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current-insulated or electrically insulated bearings are used to reduce damage, then bearing reliability is improved, but manufacturing cost increases significantly
Solution Approach 1:
The patent replaces expensive mechanical/physical bearing modifications (current insulation, ceramic coatings) with an electromagnetic field-based monitoring system. The receiving antenna detects electromagnetic pulses generated by bearing defects, enabling condition-based maintenance without altering the bearing structure, thus maintaining cost-effectiveness while improving reliability.
Solution Approach 2:
The patent introduces an intermediary detection system (receiving antenna and evaluation device) that indirectly monitors bearing health by detecting electromagnetic pulses. This intermediary approach avoids direct modification of the bearing while providing reliable defect detection, resolving the contradiction between reliability improvement and cost increase.
2Measurement precision
If complex sensors and vibration analyses are used for bearing monitoring, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential diagnostic information by detecting only the characteristic electromagnetic pulses generated by bearing defects. This selective extraction of relevant signals (electromagnetic pulses from bearing balls and track) eliminates the need for complex sensor arrays and vibration analysis systems, achieving accurate monitoring with minimal device complexity.
Solution Approach 2:
The patent substitutes complex mechanical vibration sensing systems with a simpler electromagnetic field detection system. The receiving antenna captures electromagnetic pulses directly from bearing defects, providing accurate measurement without the complexity of vibration sensors, signal processing chains, and mechanical coupling required by traditional methods.
3Reliability
If preventive maintenance is performed early, then bearing reliability is improved, but productivity decreases due to operational interruptions
Solution Approach 1:
The patent implements continuous real-time monitoring with feedback to the evaluation device, which analyzes electromagnetic pulses and determines bearing state. This ongoing feedback mechanism enables condition-based maintenance decisions, allowing operations to continue until actual defects are detected, thus maintaining productivity while ensuring reliability through timely intervention when needed.
Solution Approach 2:
The monitoring system operates autonomously during motor operation, continuously detecting bearing defects without requiring operational interruptions. The system serves itself by automatically monitoring, evaluating, and alerting to bearing state changes, enabling maintenance planning without disrupting production flow and maintaining high productivity.
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 reliable and cost-effective monitoring of bearing state and damage detection, predicting potential failures and reducing downtime and maintenance costs through preventive maintenance, with the ability to automatically trigger maintenance requests based on threshold values.
Implementation Method 1
measuring high frequency radio emissions between the bearing balls and track resulting from spark formation
Implementation Method 2
an electric spark (spark discharge) produces a high frequency electromagnetic wave which can couple to the radio antenna
Data Source
AI summary
The present disclosure relates to a method and an apparatus for monitoring a rolling bearing of an electric motor, wherein the rolling bearing forms a capacitive parasitic antenna, having the following steps of: a. capturing the electromagnetic spectrum emitted by the parasitic antenna in a manner triggered by spark formation in the rolling bearing over a respectively defined period t during operation of the electric motor; b. evaluating the number N of electromagnetic pulses (a, b, c, d, e) received in the spectrum and the amplitude A of said pulses; c. capturing the change in the number N of electromagnetic pulses (a, b, c, d, e) and/or the amplitude A of said pulses, and d. determining whether the increase in the number N and/or in the amplitudes A of the electromagnetic pulses (a, b, c, d, e) increases in a non-linear manner with time.