Machine Performance Analysis via Command Value Feedback
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Solution Overview
Problem
Existing methods for determining machine maintenance schedules, such as those described in U.S. Pat. No. 6,332,354, do not fully account for variable input commands and comparisons across similar machines, leading to incomplete assessment of machine performance and potential failure prediction.
Innovation Solution
A computer-implemented method and system that analyze machine performance by identifying events with desired output parameter values, sending commands based on these values and machine state parameters, and comparing them to historical data from the same or similar machines to determine maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If historical deceleration rates are compared to assess brake performance, then maintenance schedules can be determined, but the system does not account for variable input commands and feedback control systems
Solution Approach 1:
The system implements feedback control by comparing actual output parameters to desired output parameters and adjusting commands accordingly. The feedback control loop gain is determined based on the comparison between actual and desired values, allowing the system to account for variable input commands and improve maintenance schedule accuracy while preserving command value information.
Solution Approach 2:
The system changes the parameter being analyzed from simple deceleration rates to command values that incorporate feedback control information. By analyzing how command values change in response to varying operating conditions and feedback signals, the system maintains reliability while preventing loss of important control information.
2Reliability
If a single vehicle's historical data is used for comparison, then individual performance trends can be identified, but comparisons with similar vehicles in similar situations are not possible
Solution Approach 1:
The system creates a universal comparison framework that can assess both individual vehicle performance trends and cross-vehicle performance. By establishing common metrics and comparison criteria that work across multiple vehicles, the system enables both individual and fleet-wide performance assessment, improving reliability while enhancing adaptability to different comparison needs.
Data Source
AI summary
A system for analyzing machine performance is disclosed. The system may have one or more processors and a memory. The memory may store instructions that, when executed, enable the one or more processors to identify an event for a machine that includes a desired output parameter value and send a command to a component of the machine. A command value associated with the command may be determined based on the desired output parameter value, one or more machine state parameter values, and a feedback control loop. The instructions may further enable the one or more processors to determine whether the machine requires maintenance by comparing the command value to one or more historical command values each determined based on a historical desired output parameter value and one or more historical machine state parameter values.