Mining Machine Vibration Monitoring via Cycle Detection
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Solution Overview
Problem
Conventional vibration monitoring methods for electric mining shovels are labor-intensive, inefficient, and interrupt mining operations, as they require manual data collection and primitive operational monitoring that does not account for the machine's operating cycle, leading to inconsistent and difficult-to-analyze data.
Innovation Solution
A control system with a vibration monitor, sensor, and processor that determines when the mining machine is operating in a proper cycle, triggering the acquisition and processing of vibration data to output meaningful insights, including the use of a simulated tachometer to adjust for speed variations, enabling efficient and continuous data collection during normal operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual vibration testing is performed, then vibration data can be collected for diagnostic purposes, but mining operations must be interrupted and labor intensity increases
Solution Approach 1:
The system performs preliminary setup by installing vibration sensors and cycle detection mechanisms during maintenance periods, then automatically monitors vibrations during normal operations without requiring further intervention. The cycle detection system is pre-configured to recognize proper operating cycles and trigger data collection automatically.
Solution Approach 2:
The vibration monitoring system operates autonomously by automatically detecting proper operating cycles through sensor inputs, triggering vibration data collection without human intervention, and storing results for later analysis. The system serves itself by eliminating the need for manual testing procedures.
2Loss of time
If primitive operational monitoring is used, then vibration data can be captured during operation, but data consistency and ease of analysis deteriorate
Solution Approach 1:
The system uses feedback from multiple sensors (speed sensors, position sensors, load sensors) to continuously monitor operating conditions and determine when proper cycles are occurring. This feedback mechanism ensures vibration data is collected only during appropriate operational phases, maintaining data consistency and analytical value.
Solution Approach 2:
The monitoring system dynamically adjusts data collection based on real-time detection of operating cycle status. Rather than continuous or fixed-interval sampling, the system activates vibration data acquisition only when proper cycles are detected, optimizing resource usage and ensuring data quality.
3Duration of action of moving object
If vibration data is collected without considering operating cycle, then continuous monitoring is achieved, but data analysis difficulty increases
Solution Approach 1:
The monitoring system segments the operating cycle into distinct phases (loading, digging, swinging, dumping, returning) and collects vibration data specific to each phase. This segmentation allows targeted analysis of vibrations during critical operations while filtering out irrelevant data from transition periods, reducing overall analysis complexity.
Data Source
AI summary
A mining machine having a control system for operating the mining machine. The control system includes a vibration monitor. The mining machine further includes a sensor and a vibration control system. The sensor senses vibration of a component of the mining machine. The vibration control system determines when the mining machine is moving in a proper cycle, triggers acquisition of vibration sensor data from the sensor in response to determining that the mining machine is moving in the proper cycle, and outputs the vibration sensor data.