Processing machinery protection and fault prediction data natively in a distributed control system

• US 9,727,050 B2
• Filed: 07/24/2015
• Issued: 08/08/2017
• Est. Priority Date: 07/28/2014
• Status: Active Grant

• Current Assignee: Computational Systems Incorporated (Emerson Electric Company)
• Original Assignee: Computational Systems Incorporated (Emerson Electric Company)
• Inventors: Horn, Deane M., Kephart, Richard W., Willis, John W., Medley, Michael D., Steele, Kevin D.
• Primary Examiner(s): Patel, Ramesh
• Application Number:
  US14/808,418
• Publication Number:
  US 20160026173A1
• Time in Patent Office: 746 Days
• CPC Class Codes: G01M 7/00 Vibration-testing of structures; Shock-testing of structures G01M9/00 takes precedence
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 2219/33273 DCS distributed, decentralised controlsystem, multiprocessor
• CPC Class Codes: G05B 2219/37252 Life of tool, service life, decay, wear estimation
• CPC Class Codes: G05B 2219/37434 Measuring vibration of machine or workpiece or tool
• CPC Class Codes: G05B 2219/37435 Vibration of machine

Abstract

A vibration data acquisition and analysis module is operable to be inserted directly into a distributed control system (DCS) I/O backplane, so that processed vibration parameters may be scanned directly by the DCS I/O controller. Because the process data and the vibration data are both being scanned by the same DCS I/O controller, there is no need to integrate numerical data, binary relay outputs, and analog overall vibration level outputs from a separate vibration monitoring system into the DCS. The system provides for: (1) directly acquiring vibration data by the DCS for machinery protection and predictive machinery health analysis; (2) direct integration of vibration information on DCS alarm screens; (3) acquisition and display of real time vibration data on operator screens; (4) using vibration data to detect abnormal situations associated with equipment failures; and (5) using vibration data directly in closed-loop control applications.

Claims

1. A machinery health monitoring module that processes machine vibration data based on vibration signals and provides the machine vibration data to a distributed control system, the machinery health monitoring module comprising:

signal conditioning circuitry having an interface for receiving a plurality of analog vibration signals from a plurality of sensors attached to a machine, amplification and filter circuitry for conditioning the plurality of analog vibration signals, and analog-to-digital conversion circuitry for converting the plurality of analog vibration signals into a plurality of digital vibration signals;

processing circuitry in electrical communication with the signal conditioning circuitry, the processing circuitry comprising a plurality of parallel digital signal processing channels, each channel for processing a corresponding one of the plurality of digital vibration signals to generate multiple scalar vibration values per channel and at least one vibration time waveform per channel; and

logic generator circuitry in electrical communication with the processing circuitry, the logic generator circuitry operable to receive the multiple scalar vibration values and the at least one vibration time waveform, and operable to format at least the multiple scalar vibration values according to an input/output data protocol that is native to the distributed control system.

2. The machinery health monitoring module of claim 1 wherein the logic generator circuitry includes a backplane interface configured to electrically and mechanically connect to and disconnect from an input/output bus of the distributed control system, and wherein the multiple scalar vibration values are communicated through the backplane interface and the input/output bus of the distributed control system using the input/output data protocol that is native to the distributed control system.

3. The machinery health monitoring module of claim 2 wherein the logic generator circuitry includes at least one network communication interface operable to communicate the at least one vibration time waveform via a communication network to a machine health management data analysis computer for machine health prediction processing, wherein the at least one network communication interface is independent of the backplane interface.

4. The machinery health monitoring module of claim 3 wherein the at least one network communication interface comprises an Ethernet interface port.

5. The machinery health monitoring module of claim 2 wherein the logic generator circuitry includes at least one network communication interface operable to communicate the at least one vibration time waveform via a communication network to a digital control system operator computer for machine protection processing, wherein the at least one network communication interface is independent of the backplane interface.

6. The machinery health monitoring module of claim 5 wherein the at least one network communication interface comprises an Ethernet interface port.

7. The machinery health monitoring module of claim 2 wherein the logic generator circuitry includes:

a first network communication interface operable to communicate the at least one vibration time waveform via a first communication network to a machine health management data analysis computer for machine health prediction processing; and

a second network communication interface operable to communicate the at least one vibration time waveform via a second communication network to a digital control system operator computer for machine protection processing,

wherein the first and second network communication interfaces are independent of the backplane interface.

8. The machinery health monitoring module of claim 7 wherein the first and second network communication interfaces comprise Ethernet interface ports.

9. The machinery health monitoring module of claim 2 wherein the logic generator circuitry is operable to communicate the at least one vibration time waveform in data blocks through the backplane interface and the input/output bus of the distributed control system using a block data transfer protocol.

10. The machinery health monitoring module of claim 1 wherein the plurality of parallel digital processing channels of the processing circuitry include:

a first channel for processing a vibration time waveform for use in machine health prediction processing; and

a second channel for processing a vibration time waveform for use in machine protection processing, wherein processing performed in the second channel is independent from processing performed in the first channel.

11. A distributed control system comprising:

an input/output bus through which data are transferred according to a data communication protocol that is native to the distributed control system;

one or more machinery health monitoring modules in electrical communication with the input/output bus, each of the one or more machinery health monitoring modules comprising;

signal conditioning circuitry having an interface for receiving a plurality of analog vibration signals from a plurality of sensors attached to a machine, amplification and filter circuitry for conditioning the plurality of analog vibration signals, and analog-to-digital conversion circuitry for converting the plurality of analog vibration signals into a plurality of digital vibration signals;

processing circuitry in electrical communication with the signal conditioning circuitry, the processing circuitry comprising a plurality of parallel digital processing channels, each channel for processing a corresponding one of the plurality of digital vibration signals to generate multiple scalar vibration values per channel and at least one vibration time waveform per channel; and

logic generator circuitry in electrical communication with the processing circuitry, the logic generator circuitry operable to receive the multiple scalar vibration values and the at least one vibration time waveform, and operable to format at least the multiple scalar vibration values according to an input/output communication protocol that is native to the distributed control system, the logic generator circuitry including a backplane interface configured to electrically and mechanically connect to and disconnect from the input/output bus, wherein the multiple scalar vibration values are communicated through the backplane interface and the input/output bus according to the input/output communication protocol that is native to the distributed control system;

one or more distributed control system input modules in electrical communication with the input/output bus, each of the one or more distributed control system input modules operable to receive sensor signals from process sensors attached to a machine, generate scalar process values based on the sensor signals from the process sensors, and provide the scalar process values to the input/output bus, wherein the process sensors include sensors other than vibration sensors;

a distributed control system controller comprising;

interface circuitry that scans the input/output bus at a predetermined rate to receive the scalar vibration values and the scalar process values therefrom; and

logic circuitry for executing control logic routines that generate control signals based on logical processing of one or more of the scalar vibration values, one or more of the scalar process values, or a combination of one or more of the scalar vibration values and one or more of the scalar process values; and

one or more distributed control system output modules in electrical communication with the input/output bus, each of the one or more distributed control system output modules operable to receive the control signals from the input/output bus and generate machine operation output signals based on the control signals.

12. The distributed control system of claim 11 wherein the logic circuitry of the distributed control system controller executes the control logic routines and generates the control signals at the same predetermined rate at which the interface circuitry scans the scalar vibration values and the scalar process values from the input/output bus.

13. The distributed control system of claim 11 wherein the one or more distributed control system input modules generate the scalar process values including one or more of temperature scalar values, pressure scalar values, flow rate scalar values, and speed scalar values.

14. The distributed control system of claim 11 wherein the one or more machinery health monitoring modules generate the scalar vibration values including one or more of an RMS value, a peak value, a peak-to-peak value, a DC value, an absolute +/−

peak value, and a PeakVue value.

15. The distributed control system of claim 11 wherein the logic circuitry selectively executes:

first control logic routines that are optimized for maximum machine protection using first trip threshold levels;

or

second logic control routines that are optimized for maximum machine availability using second trip threshold levels that are higher than the first trip threshold levels.

16. A method for processing data in a distributed control system, wherein the data is based on sensor signals generated by sensors attached to one or more machines that are under control of the distributed control system, the method comprising:

(a) receiving a plurality of analog vibration signals from a plurality of sensors attached to the one or more machines;

(b) converting the plurality of analog vibration signals into a plurality of digital vibration signals;

(c) simultaneously processing the plurality of digital vibration signals in a plurality of parallel digital signal processing channels, the processing comprising;

(c1) processing one or more of the plurality of digital vibration signals in one or more of the plurality of parallel digital signal processing channels that are dedicated to machine health prediction processing only; and

(c2) processing one or more of the plurality of digital vibration signals in one or more of the plurality of parallel digital signal processing channels that are dedicated to machine health protection processing only,

wherein the one or more parallel digital signal processing channels that are dedicated to machine health prediction processing are separate from and independent of the one or more parallel digital signal processing channels that are dedicated to machine health protection processing;

(d) generating machine operation output signals based on the machine health protection processing;

(e) generating machine performance signals based on the machine health prediction processing;

(f) using the machine operation output signals in the distributed control system to shut down one or more of the machines to avoid damage; and

(g) using the machine performance signals to observe trends in machine performance or to predict how much longer one or more of the machines can operate before being taken offline for maintenance or replacement.

17. The method of claim 16 wherein the processing steps (c1) and (c2) are performed in separate and independent parallel channels of a field programmable gate array (FPGA).

18. The method of claim 16 wherein the processing step (c1) cannot affect the processing step (c2).

19. The method of claim 16 wherein data associated with the processing step (c1) are stored in first memory locations, and data associated with the processing step (c2) are stored in second memory locations, and the second memory locations can be read during the processing step (c1) but cannot be written to during the processing step (c1).

20. The method of claim 16 wherein the processing step (c1) has a lower priority than the processing step (c2) in a real-time operating system that controls task priority in the distributed control system.

21. The method of claim 16 wherein

step (f) further comprises providing the machine operation output signals to the distributed control system via an input/output bus, and

step (g) further comprises providing the machine performance signals to a machine health management data analysis computer via a network communication interface that is independent of the input/output bus.

22. The method of claim 21 further comprising generating control signals in the distributed control system to selectively disable the network communication interface.