Mining Machine Vibration Sampling Under Steady-State Conditions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vibration monitoring systems for mining machines, such as electric mining shovels, face challenges in collecting consistent data due to the machines' dynamic nature, leading to frequent false-positive alerts and inefficient maintenance.
Innovation Solution
The system employs a network of sensors positioned at various measurement points on the mining machine, coupled with electronic processors that determine predicate parameters to ensure consistent machine conditions before collecting vibration data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vibration monitoring is performed on a dynamic mining machine with variable speed and load, then continuous operation monitoring is achieved, but data consistency deteriorates leading to false-positive alerts
Solution Approach 1:
The system dynamically adjusts data collection based on machine operating conditions. It transitions between continuous monitoring and selective sampling modes, adapting to variable speed and load conditions to maintain data quality while enabling continuous operation monitoring.
Solution Approach 2:
The system changes monitoring parameters based on operating conditions. It uses predicate parameters to determine when to collect vibration data, adjusting sampling frequency and thresholds according to machine state to ensure data consistency during dynamic operations.
2Adaptability or versatility
If vibration data is collected during all operating conditions, then comprehensive monitoring coverage is achieved, but data quality deteriorates due to inconsistent machine states
Solution Approach 1:
The system performs preliminary assessment of operating conditions using predicate parameters before collecting vibration data. It evaluates whether current machine state is suitable for data collection, preparing and filtering data sources in advance to ensure only high-quality data is captured.
Solution Approach 2:
The system applies selective sampling rather than continuous collection. It collects vibration data partially - only during operating conditions that meet predetermined criteria - thereby maintaining comprehensive monitoring coverage while ensuring data quality through selective measurement.
3Reliability
If rule-based alerts are enacted based on vibration data, then maintenance timing is improved, but false-positive events increase due to inconsistent data
Solution Approach 1:
The system uses feedback from operating condition monitoring to validate vibration data before triggering alerts. It continuously compares current machine state against predicate parameters, using this feedback loop to confirm whether observed vibrations represent actual faults or normal operational variations.
Data Source
AI summary
A vibration monitoring system for a mining machine, the mining machine including a plurality of movable components and one or more motor operatively coupled to the plurality of movable components. The system including a plurality of sensors, each of the plurality of sensors positioned at one of a plurality of measurement points on at least one of the movable component of the industrial machine, and an electronic processor coupled to the plurality of sensors and configured to receive a signal including a parameter related to a motion of the at least one moveable component, identify a steady state of the industrial machine based, at least in part, on the parameter meeting a predetermined criteria, receive, from the plurality of sensors, a plurality of vibration data sets, and select a vibration data subset from the plurality of vibration data sets corresponding to the steady state of the industrial machine.