SYSTEM AND METHOD FOR ASSISTING WITH THE DIAGNOSIS OF THE OPERATING CONDITION OF A ROTARY MACHINE

• US 20160327453A1
• Filed: 12/30/2014
• Published: 11/10/2016
• Est. Priority Date: 12/30/2013
• Status: Active Grant

• Current Assignee: Howden Solyvent-Ventec
• Original Assignee: Howden Solyvent-Ventec
• Inventors: Sivo, Michel, Louisot, Alain Bernard Dominique, Amor, Didier Francois Hugues
• Granted Patent: US 10,222,298 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01M 13/02 Gearings; Transmission mechanisms
• CPC Class Codes: G01M 13/028 Acoustic or vibration analysis
• CPC Class Codes: G01M 15/05 by combined monitoring of two or more different engine parameters
• CPC Class Codes: G01M 15/12 by monitoring vibrations
• CPC Class Codes: G05B 23/0213 Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
• CPC Class Codes: G05B 23/0227 Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
• CPC Class Codes: G07C 3/00 Registering or indicating the condition or the working of machines or other apparatus, other than vehicles

Abstract

The invention relates to a system (100) for assisting with the diagnosis of the operating condition of at least one industrial rotary machine (M1, M2, M3), consisting of an industrial electric fan unit, or an industrial motorised pump unit including a pumping wheel, said diagnosis assistance system (100) including a base support (50) and a means (10) for receiving signals (S1, S2, S3) secured to the base mounting (50), the means (10) for receiving signals (S1, S2, S3) being designed such as to receive signals (S1, S2, S3) representing raw values (6) of at least one operating parameter of the rotary machine (M1, M2, M3), characterised in that the system (100) also includes a means (20) for interpreting the operating condition designed such as to automatically interpret the raw values (6) received and to generate a diagnosis (De) of the operating condition of the rotary machine (M1, M2, M3) in accordance with said raw values (6). The invention can be used in the field of rotary-machine maintenance.

Claims

1. A diagnosis assistance system (100) for diagnosing the operating state of at least one industrial rotary machine (M1, M2, M3) formed by an industrial motor-and-fan unit comprising a motor and a fanwheel driven in rotation by said motor, or by an industrial motor-and-pump unit including a pump wheel, said diagnosis assistance system (100) comprising a base support (50) and reception means (10) for receiving signals (S1, S2, S3), the reception means being secured to the base support (50), the reception means (10) for receiving signals (S1, S2, S3) being designed to receive signals (S1, S2, S3) representative of raw values (6) of at least one operating parameter of said at least one rotary machine (M1, M2, M3), the raw values (6) being picked up within said at least one rotary machine (M1, M2, M3), the system (100) being characterized in that it also comprises interpretation means (20) for interpreting the operating state and designed to act automatically to interpret the received raw values (6) and to generate a diagnosis (Dc) about the operating state of said at least one rotary machine (M1, M2, M3) as a function of said raw values (6).

2. The diagnosis assistance system (100) according to claim 1, characterized in that the interpretation means (20) include an association algorithm (2) and a state database (2B) containing a plurality of known operating states, the association algorithm (2) including an association module (2A) enabling the operating state to be associated with one of the known operating states of the state database (2B).

3. The diagnosis assistance system (100) according to claim 2, characterized in that the association algorithm (2) includes at least one time and/or frequency analysis module (2D) enabling time and/or frequency analysis to be performed on the raw values (6) and enabling an analysis result to be generated representative of the operating state, the association module (2A) serving to compare the analysis result with result models of the state database (2B), the result models corresponding to the plurality of known operating states, the association module (2A) serving to associate the operating state with one of the known operating states.

4. The diagnosis assistance system (100) according to claim 2, characterized in that the association algorithm (2) comprises a comparison module (2C) for comparing the raw values (6) with threshold values of the state database (2B), the threshold values corresponding to the plurality of known operating states, the association module (2A) serving to associate the operating state with one of the known operating states.

5. The diagnosis assistance system (100) according to claim 1, characterized in that the interpretation means (20) are designed to interpret the raw values (6) of operating parameters of the speed and/or acceleration and/or vibration and/or temperature and/or torque and/or force and/or sound measurement type for one or more functional components of said at least one rotary machine (M1, M2, M3).

6. The diagnosis assistance system (100) according to claim 1, characterized in that it includes an embedded computer (11), the interpretation means (20) being in the form of operating software (12) loaded in the embedded computer (11) to execute the association algorithm (2).

7. The diagnosis assistance system (100) according to claim 1, characterized in that the base support (50) comprises a housing of the cabinet or box type that is designed to be closed and locked using a door (51) of said housing, the means (10) for receiving signals (S1, S2, S3) being placed inside said housing.

8. The diagnosis assistance system (100) according to claim 7, characterized in that the interpretation means (20) are placed inside the housing.

9. The diagnosis assistance system (100) according to claim 7, characterized in that it includes an interface device (31) enabling a user to access the diagnosis (Dc), the interface device (31) having a local screen (31A) designed to display an interactive interface (30) and arranged on said housing in such a manner that a user can access it without unlocking said housing.

10. The diagnosis assistance system (100) according to claim 9, characterized in that the local screen (31A) is a touch screen.

11. The diagnosis assistance system (100) according to claim 9, characterized in that said interactive interface (30) enables the user to access distinct diagnosis levels (D1, D2), comprising at least:

a first diagnosis level (D1) in which the user can access the diagnosis and read the operating state directly; and

a second diagnosis level (D2) in which the user can access the raw values (6).

12. The diagnosis assistance system (100) according to claim 11, characterized in that the access of a user to the diagnosis levels (D1, D2) is governed by an access rights system that authorizes or does not authorize access in predetermined manner to certain of said diagnosis levels (D1, D2) as a function of access rights of the user.

13. The diagnosis assistance system (100) according to claim 1, characterized in that it includes a remote diagnosis device (40) designed to communicate remotely with the interpretation means (20) and/or with the reception means (10) in order to receive the diagnosis (Dc) about the operating state and/or to receive the raw values (6) of said at least one operating parameter.

14. The diagnosis assistance system (100) according to claim 1, characterized in that i) the reception means (10) comprise receive ports (1A) designed to receive the signals (S1, S2, S3) and to extract therefrom the raw values (6), the reception means (10) also including a memory (1B) in which the raw values (6) received over a predetermined duration are stored, the interpretation means (20) being designed to use raw values (6) received over a predetermined duration, and/or ii) the ports (1A) are suitable for receiving the signals (S1, S2, S3) in the form of electrical or electromagnetic signals transmitted by sensors (SA1, SA2, SA3) arranged within said at least one rotary machine (M1, M2, M3).

16. The diagnosis assistance system (100) according to claim 1, characterized in that the reception means (10) comprise a sufficient number of ports (1A) to receive the raw values (6) of one or more operating parameters, preferably one to six operating parameters, from one or more industrial rotary machines, preferably one to four industrial rotary machines.

15. (canceled)

17. A diagnosis assistance method for diagnosing the operating state of at least one industrial rotary machine (M1, M2, M3) formed by an industrial motor-and-fan unit comprising a motor and a fanwheel driven in rotation by said motor, or by an industrial motor-and-pump unit including a pump wheel, said diagnosis assistance method comprising a step of receiving signals (S1, S2, S3) representative of raw values (6) of at least one operating parameter of said at least one rotary machine (M1, M2, M3), the raw values (6) being picked up within said at least one rotary machine (M1, M2, M3), the method being characterized in that it also comprises an automatic interpretation step of automatically interpreting received raw values (6) and a step of generating a diagnosis (Dc) about the operating state of said at least one rotary machine (M1, M2, M3) as a function of said raw values (6).

18. The diagnosis assistance method according to claim 17, characterized in that the automatic interpretation step comprises an association substep of associating the operating state with a known operating state.

19. The diagnosis assistance method according to claim 18, characterized in that the association substep comprises:

executing time and/or frequency analysis of the raw values (6) of said at least one operating parameter, thereby obtaining an analysis result representing the operating state; and

comparing the analysis results with result models corresponding to a plurality of known operating states in order to associate the operating state with one of the known operating states, and/or

characterized in that the association substep comprises comparing raw values (6) with threshold values associated with a plurality of known operating states in order to associate the operating state with one of the known operating states.

21. The diagnosis assistance method according to claim 17, characterized in that it includes a step of a user accessing distinct diagnosis levels (D1, D2), comprising at least:

a first diagnosis level (D1) in which the user accesses the diagnosis and read the operating state directly; and

a second diagnosis level (D2) in which the user accesses the raw values (6), and/or

characterized in that it includes a step of authenticating the user in order to authorize or not authorize the user to access certain ones of said diagnosis levels (D1, D2) as a function of access rights of said user.

23. A medium suitable for being read by a computer and storing operating software (12), the medium being characterized in that the operating software (12) enables the automatic interpretation step and the step of generating the diagnosis (Dc) of the diagnosis assistance method according to claim 17 to be performed.

20. (canceled)

22. (canceled)