Check patentability & draft patents in minutes with Patsnap Eureka AI!

Method and apparatus for improved fault detection in power generation equipment

A technology of power generation equipment and confidence, which is applied in the direction of measuring devices, special recording/indicating devices, and variable measurement arrangements, and can solve problems such as inaccurate regression model failure sensors and large calculations

Inactive Publication Date: 2009-04-15
SIEMENS AG
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these regression methods are computationally expensive and require a number of regression networks equal to the number of sensors
Also, this regression model is inaccurate when there are faulty sensors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and apparatus for improved fault detection in power generation equipment
  • Method and apparatus for improved fault detection in power generation equipment
  • Method and apparatus for improved fault detection in power generation equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Figure 1 shows a schematic diagram of sensor vector estimates and observations collected with a monitoring system, and how these estimates / values ​​compare to normal operating ranges, for example, the temperature of components in a power generation turbine. In particular, referring to Figure 1, two sensors, designated herein as Sensor 1 and Sensor 2, are part of the monitoring system. For example, sensor 1 is a faulty sensor and sensor 2 is not faulty. These sensors are, for example, configured to monitor the aforementioned operating characteristics of the turbomachine, for example, the operating characteristic is the blade passage temperature of the blades in the vortex machine. Those skilled in the art will appreciate that, as seen in FIG. 1 , multiple temperature measurements, such as those obtained by sensor 1 and sensor 2 , can be represented by vectors 102 and 103 , respectively. Specifically, the measured values ​​represented by the vectors 102 and 103 along the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method and apparatus for detecting faults in power plant equipment is discloses using sensor confidence and an improved method of identifying the normal operating range of the power generation equipment as measured by those sensors. A confidence is assigned to a sensor in proportion to the residue associated with that sensor. If the sensor has high residue, a small confidence is assigned to the sensor. If a sensor has a low residue, a high confidence is assigned to that sensor, and appropriate weighting of that sensor with other sensors is provided. A feature space trajectory (FST) method is used to model the normal operating range curve distribution of power generation equipment characteristics. Such an FST method is illustratively used in conjunction with a minimum spanning tree (MST) method to identify a plurality of nodes and to then connect those with line segments that approximate a curve.

Description

[0001] This application claims priority to US Application No. 60 / 604,374, filed August 25, 2004, the entire contents of which are incorporated herein by reference. Background technique [0002] Large machines, such as power generating equipment, are expensive to buy, install, maintain, and work on. Therefore, it is very important to determine whether such devices are operating within the expected operating parameters. It is also very important to detect conditions that indicate that the device is operating outside of these expected parameters, where operation of the device outside of these expected parameters can result in damage to the device. In order to detect such conditions, sensors are usually used to detect operating parameters, such as pressure and temperature of various components, and if the specific measured value exceeds a predetermined threshold of a certain parameter, it is determined that a fault has occurred. Recently, approaches to fault measurement systems h...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01D1/18G01D3/00G01D21/02
Inventor C·元C·诺伊鲍尔Z·卡塔尔特佩
Owner SIEMENS AG
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com