Reciprocating Device Fault Detection Using Adaptive Signal Eigenvalues
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Solution Overview
Problem
Existing methods are inadequate for accurately determining faults in reciprocating devices, which are crucial for oil and gas field operations, leading to potential safety and economic losses.
Innovation Solution
A method involving obtaining target signal data from sensors on components of the reciprocating device, processing it based on data type to determine a running status eigenvalue, and using this eigenvalue to assess fault conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional fault determination methods are used for reciprocating devices, then the device can operate continuously, but the fault detection accuracy is insufficient leading to safety risks
Solution Approach 1:
The patent segments the fault detection process into multiple independent modules: signal acquisition module, signal processing module (including filtering, transformation), feature extraction module, and fault diagnosis module. Each module handles a specific aspect of the detection process, improving overall accuracy while maintaining system reliability through modular error isolation.
Solution Approach 2:
The patent introduces intermediate processing steps between raw signal acquisition and fault determination, including signal filtering, transformation to different domains (time, frequency, angle), and feature extraction. These intermediary processes enhance the accuracy of fault detection by preparing and refining the raw signals before final analysis.
2Measurement precision
If comprehensive signal processing is performed to improve fault detection accuracy, then measurement precision increases, but processing time and system complexity increase
Solution Approach 1:
The patent performs preliminary signal processing operations (filtering, normalization, transformation) on the acquired signals before fault analysis. By preparing the signals in advance with appropriate preprocessing, the system reduces the computational burden during actual fault diagnosis, thereby decreasing processing time while maintaining high detection accuracy.
Solution Approach 2:
The patent dynamically adjusts the processing approach based on the type of signal and fault conditions. Different processing methods are applied to different signal types (vibration, pressure, temperature), and the processing intensity is adapted to the specific operational context, optimizing the balance between accuracy and processing time.
3Measurement precision
If multiple signal processing methods are applied to improve fault detection accuracy, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent develops a universal fault detection system that can handle multiple types of signals (vibration, pressure, temperature) and multiple fault conditions through a single integrated platform. The system uses standardized processing pipelines that can be configured for different signal types, reducing overall system complexity while maintaining high detection accuracy across various fault scenarios.
Solution Approach 2:
The patent changes the parameters of signal processing (such as transformation domain, filtering characteristics, feature extraction parameters) based on the specific signal type and fault conditions rather than using fixed complex algorithms. This adaptive parameter adjustment simplifies the system architecture while improving detection accuracy for different scenarios.
Data Source
AI summary
This application provides a fault determining method of a reciprocating device and a port control method. The method includes: obtaining target signal data acquired by a sensor located on a component at a predetermined location of a reciprocating device; determining, according to a data type of the target signal data, a target processing mode; processing, according to the target processing mode, the target signal data, to obtain a running status eigenvalue reflecting a running status of the component; and determining, according to the running status eigenvalue, a fault result indicating whether the component is faulty. The present disclosure solves a technical problem that it is unlikely to accurately determine a fault of a reciprocating device in the related art.