Fluid machinery abnormality cause estimation device, abnormality cause estimation method, and fluid machinery abnormality cause estimation system

Abstract

To provide an abnormality cause estimation device of a fluid machine which can easily and highly accurately estimate an abnormality cause of the fluid machine.SOLUTION: An abnormality cause estimation device of a fluid machine comprises: a measurement value input unit which inputs a measurement value obtained from a sensor installed in the fluid machine; a performance calculation unit which calculates the performance of the fluid machine from the measurement value obtained by the measurement value input unit; an abnormality determination unit which determines the presence / absence of an abnormality in the measurement value obtained by the measurement value input unit and the performance of the fluid machine calculated by the performance calculation unit; an abnormality cause estimation unit which estimates an abnormality cause of the fluid machine on the basis of the determination result of the presence / absence of the abnormality in the performance of the fluid machine determined by the abnormality determination unit and the abnormality cause of the fluid machine previously stored in an abnormality cause database; and a result output unit which outputs the abnormality cause estimation result of the fluid machine estimated by the abnormality cause estimation unit.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an apparatus and method for estimating the cause of an abnormality in fluid machinery such as a compressor, and a system for estimating the cause of an abnormality in fluid machinery. [Background technology]

[0002] In recent years, chemical plants and power plants have been introducing state monitoring and diagnostic technologies for plant equipment with the aim of ensuring stable operation and streamlining maintenance work.

[0003] When an abnormality occurs in plant equipment, early detection of the abnormality and the implementation of countermeasures can be expected to enable continued operation and reduce maintenance work time. In order to implement countermeasures more effectively, it is important to have diagnostic technology that can estimate the cause of an abnormality when it occurs in plant equipment.

[0004] As an example of equipment diagnostic technology, for example, Patent Document 1 describes an information processing device having a development pattern extraction unit that extracts phenomenon patterns of past sensor signals of equipment in order to more accurately diagnose the equipment, a linking unit that links the sensor signals based on maintenance history information, a classification criterion creation unit that creates classification criteria for classifying the phenomenon patterns based on the phenomenon patterns extracted by the development pattern extraction unit and work keywords included in the maintenance history information to which the sensor signals that are the basis of the phenomenon patterns are linked, a phenomenon pattern classification unit that classifies the phenomenon patterns based on the classification criterion created by the classification criterion creation unit, and a diagnostic model creation unit that creates a diagnostic model for estimating work keywords to be presented to a maintenance worker based on the phenomenon patterns classified by the phenomenon pattern classification unit and the work keywords.

[0005] Furthermore, Patent Document 2 describes a fault diagnosis device for facility equipment that includes at least one measuring means for measuring the operating state of a connection device, a plurality of fault diagnosis means for analyzing the measurement results of the measuring means and outputting a group of fault cause candidates including one or more pairs of fault cause candidates and their certainties, in order to detect a wide range of fault causes, shorten the time required for development of individual diagnostic methods, and improve diagnostic accuracy. The device also includes an integration means for integrating the groups of fault cause candidates output by each of the plurality of fault diagnosis means and outputting an overall diagnosis result.

[0006] On the other hand, Patent Document 3 describes a vibration diagnosis device for rotating machinery that includes a diagnostic processing means that, when diagnosing vibrations in a rotating machinery, takes in various data obtained from the rotating machinery and estimates the cause of vibration from a vibration causality matrix that correlates the characteristics of a plurality of vibration phenomena that occur in the rotating machinery with a plurality of causes and accumulates it in a knowledge base, in order to improve the reliability of the diagnostic results for the operator, the technician, or the engineer of the remote monitoring service when diagnosing vibrations in the rotating machinery; a memory in which a vibration analysis model corresponding to the diagnostic result is stored in advance; a vibration analysis verification means that takes in the vibration cause estimated by the diagnostic processing means, extracts from the memory an analysis model that matches this vibration cause and analyzes it; and a diagnostic result evaluation means that takes in the analysis verification results by the vibration analysis verification means and the diagnostic result by the diagnostic processing means and evaluates the occurrence of a vibration phenomenon. [Prior art documents] [Patent documents]

[0007] [Patent Document 1] Japanese Patent Application Laid-Open No. 2015-148867 [Patent Document 2] Japanese Patent Application Laid-Open No. 2007-293489 [Patent Document 3] Japanese Patent Application Laid-Open No. 2003-149043 Summary of the Invention [Problem to be solved by the invention]

[0008] In fluid machinery such as compressors, a fluid flow path is provided within the casing, and the casing is designed to prevent the fluid from leaking outside. Therefore, it is difficult to install a sensor inside the fluid machinery to directly measure and monitor the internal conditions.

[0009] As described in Patent Documents 1-3 above, when attempting to estimate the cause of an abnormality based solely on measurement values, it is not possible to obtain measurement values ​​from inside the fluid machine, and therefore, for abnormalities related to changes in the state inside the fluid machine, it may not be possible to accurately narrow down the candidate causes of the abnormality.

[0010] Furthermore, in general, frequency analysis is often required to extract the characteristics of vibration phenomena as described in Patent Document 3, and estimation of the cause of vibration based on a vibration causality matrix also presupposes that the frequency components are known, which requires that measurement values ​​be acquired at a high sampling frequency. Continuous monitoring of measurement values ​​at a high sampling frequency may lead to increased costs for measurement systems and data storage systems.

[0011] The present invention has been made in consideration of the above points, and its object is to provide an abnormality cause estimation device and an abnormality cause estimation method for fluid machinery, which can easily and accurately estimate the cause of an abnormality in fluid machinery, and an abnormality cause estimation system for fluid machinery. [Means for solving the problem]

[0012] In order to achieve the above object, the present invention provides an abnormality cause estimating device for fluid machinery that monitors the state of the fluid machinery and, if an abnormality is detected, estimates the cause of the abnormality, and a measurement value input unit to which measurement values ​​obtained from sensors installed in the fluid machinery are input; a performance calculation unit to calculate the performance of the fluid machinery from the measurement values ​​obtained by the measurement value input unit; an abnormality determination unit to determine whether or not there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance of the fluid machinery calculated by the performance calculation unit; and a database of abnormality causes for the fluid machinery, which includes a result of the determination of whether or not there is an abnormality in the performance of the fluid machinery determined by the abnormality determination unit and a database of abnormality causes for the fluid machinery. The cause of the abnormality in the fluid machinery is estimated from the relationship between the measured values ​​and performance at which the abnormality appears. and a result output unit that outputs an estimation result of the cause of an abnormality of the fluid machinery estimated by the abnormality cause estimation unit. 、 The abnormality determination unit acquires normal measurement values ​​and performance of the fluid machinery that are stored in advance in a normal measurement value database, and determines whether or not there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance calculated by the performance calculation unit, based on the normal measurement values ​​and performance acquired from the normal measurement value database. It is characterized by:

[0013] In order to achieve the above object, the present invention provides a method for estimating the cause of an abnormality in a fluid machine, which monitors a state of the fluid machine and, if an abnormality is detected, estimates the cause of the abnormality, and includes the steps of: A measurement value obtained from a sensor installed in the fluid machine is input to a measurement value input unit, a performance calculation unit calculates the performance of the fluid machine from the measurement value obtained by the measurement value input unit, an abnormality determination unit determines whether or not there is an abnormality in the measurement value obtained by the measurement value input unit and the performance of the fluid machine calculated by the performance calculation unit, and a result of the determination of whether or not there is an abnormality in the performance of the fluid machine determined by the abnormality determination unit and the cause of the abnormality of the fluid machine stored in advance in an abnormality cause database are stored in an abnormality cause database. The cause of the abnormality in the fluid machinery is estimated from the relationship between the measured values ​​and performance at which the abnormality appears. and then outputting the result of the estimation of the cause of the abnormality of the fluid machinery estimated by the abnormality cause estimation unit to a result output unit. death, The abnormality determination unit acquires the normal measurement values ​​and performance of the fluid machinery stored in advance in a normal measurement value database, and determines whether or not there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance calculated by the performance calculation unit, based on the normal measurement values ​​and performance acquired from the normal measurement value database. It is characterized by:

[0014] In addition, in order to achieve the above-mentioned object, the system for estimating the cause of an abnormality in a fluid machinery of the present invention is a system for estimating the cause of an abnormality in a fluid machinery, in which measurement values ​​of the fluid machinery measured by sensors installed at predetermined locations of the fluid machinery are transmitted to an abnormality cause estimation device via a network, and the cause of the abnormality in the fluid machinery estimated by the abnormality cause estimation device based on the measurement values ​​is communicated to the owner of the fluid machinery, and is characterized in that the abnormality cause estimation device is an abnormality cause estimation device for a fluid machinery having the above-mentioned configuration. [Effects of the Invention]

[0015] According to the present invention, the cause of an abnormality in a fluid machine can be estimated simply and with high accuracy. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a diagram showing the overall configuration of a centrifugal compressor to which an abnormality cause estimating device for fluid machinery according to the present invention is applied. [Figure 2] 1 is a diagram showing a first embodiment of an abnormality cause estimating device for a fluid machinery according to the present invention; [Figure 3] 3 is a diagram showing an example of measurement values ​​in the first embodiment of the device for estimating the cause of an abnormality in a fluid machine according to the present invention. FIG. [Figure 4] 3 is a diagram showing an example of a result of determining whether or not there is an abnormality by the abnormality determining unit in the device for estimating the cause of an abnormality in a fluid machinery according to the first embodiment of the present invention; FIG. [Figure 5] 1 is a diagram showing an example of an abnormality cause database in a fluid machinery abnormality cause estimating device according to a first embodiment of the present invention; [Figure 6] 2 is an enlarged cross-sectional view showing the impeller and its surroundings of the centrifugal compressor shown in FIG. 1. [Figure 7] 3 is a diagram showing an example of a diagnosis result output and displayed on a result output unit in the first embodiment of the device for estimating the cause of an abnormality in a fluid machine according to the present invention. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0017] The present invention will be described below with reference to the illustrated embodiments, in which the same reference numerals are used to designate the same components. [Example]

[0018] FIG. 1 shows the overall configuration of a centrifugal compressor 201 to which the device for estimating the cause of an abnormality in fluid machinery according to the present invention is applied.

[0019] 1, a centrifugal compressor 201 is generally composed of a casing 202 that is normally formed into a cylindrical shape and serves as a stationary part, a rotor 205 disposed in the casing 202, and a journal bearing 203 and a thrust bearing 204 that rotatably support the rotor 205. The rotor 205 is provided with a plurality of impellers 206, and the rotation of the impellers 206 compresses the fluid flowing in the flow path.

[0020] In the centrifugal compressor 201 having the above configuration, sensors for measuring the axial vibration, suction temperature, discharge temperature, suction pressure, discharge pressure, rotation speed, etc. of the centrifugal compressor 201 are appropriately installed at locations suitable for each measurement.

[0021] The sensor 207 shown in FIG. 1 is installed on the rotor 205 to measure axial vibration, for example, and the measurement value (axial vibration) of the centrifugal compressor 201 measured by this sensor 207 is transmitted to a monitoring system 210 via a network such as a DCS (distributed control system) 208 and a LAN 209, and then transmitted from the monitoring system 210 to an abnormality cause estimation device 1 that monitors the state of the centrifugal compressor 201 and estimates the cause of the abnormality if an abnormality is detected.The abnormality cause of the centrifugal compressor 201 estimated by the abnormality cause estimation device 1 based on the measurement value measured by the sensor 207 is transmitted to an owner (contract user) 211 of the centrifugal compressor 201, thereby constituting an abnormality cause estimation system.

[0022] Next, the above-mentioned abnormality cause estimating device 1 will be described with reference to Fig. 2. Fig. 2 is a diagram showing a first embodiment of the abnormality cause estimating device for fluid machinery according to the present invention.

[0023] 2, the abnormality cause estimation device 1 of this embodiment is roughly composed of a measurement value input unit 2 to which measurement values ​​obtained from a sensor 207 installed in the centrifugal compressor 201 are input, a performance calculation unit 3 that calculates the performance of the centrifugal compressor 201 from the measurement values ​​obtained by the measurement value input unit 2, an abnormality determination unit 4 that determines whether or not there is an abnormality in the performance of the centrifugal compressor 201 based on the measurement values ​​obtained by the measurement value input unit 2 and the performance calculated by the performance calculation unit 3, an abnormality cause estimation unit 6 that estimates the cause of the abnormality of the centrifugal compressor 201 based on the determination result of the presence or absence of an abnormality in the performance of the centrifugal compressor 201 determined by the abnormality determination unit 4 and the abnormality causes of the centrifugal compressor 201 stored in advance in an abnormality cause database 7, and a result output unit 8 that outputs the estimation result of the abnormality cause of the centrifugal compressor 201 estimated by the abnormality cause estimation unit 6. Note that reference numeral 5 denotes a normal state measurement value database in which the measurement values ​​and performance of the centrifugal compressor 201 under normal conditions are stored.

[0024] In FIG. 2, measurement values ​​such as axial vibration, suction temperature, discharge temperature, suction pressure, discharge pressure, and rotation speed obtained from a sensor 207 installed in a centrifugal compressor 201 are input to the measurement value input unit 2 (FIG. 3 shows an example of measurement values ​​input to the measurement value input unit 2, and measurement values ​​obtained at each time are input to the measurement value input unit 2).

[0025] In addition, the performance calculation unit 3 calculates the performance from a part of the measurement values ​​obtained by the measurement value input unit 2, and in this embodiment, the polytropic efficiency of the centrifugal compressor 201 is calculated from the measurement values ​​of the suction temperature, suction pressure, discharge temperature, discharge pressure, and gas composition measured by the sensor 207 as the performance.

[0026] In this embodiment, the polytropic efficiency is used as the performance of the centrifugal compressor 201, but this is not limiting. For example, the same effect can be obtained by using an index representing the performance of the centrifugal compressor 201, such as a polytropic head or shaft power, instead of the polytropic efficiency.

[0027] In addition, the abnormality determination unit 4 has the function of determining whether or not there is an abnormality in the measurement value obtained from the sensor 207 input to the measurement value input unit 2 and the polytropic efficiency (performance) calculated by the performance calculation unit 3.

[0028] An abnormality in the measurement and performance of the sensor 207 means that the measurement and performance of the sensor 207 deviates from a predetermined normal range, and the normal function of the centrifugal compressor 201 may be impaired or may be impaired.

[0029] Furthermore, the abnormality determination unit 4 acquires the pre-stored measurement values ​​and performance of the centrifugal compressor 201 under normal conditions from the normal condition measurement value database 5, and determines whether or not there is an abnormality in the measurement values ​​measured by the sensor 207 and the polytropic efficiency (performance) calculated by the performance calculation unit 3, based on the normal condition measurement values ​​and performance acquired from the normal condition measurement value database 5.

[0030] The abnormality determination unit 4 may use, for example, the Mahalanobis-Taguchi method for its processing, but is not limited to this.

[0031] 4 shows an example of the result of determining whether or not there is an abnormality in the centrifugal compressor 201 by the abnormality determination unit 4, and shows a case where an abnormality is determined in the shaft vibration of the measurement value input to the measurement value input unit 2 and the polytropic efficiency calculated from the measurement values ​​of the suction temperature, suction pressure, discharge temperature, discharge pressure, and gas composition by the performance calculation unit 3. The abnormality determination result determined by this abnormality determination unit 4 is output to the abnormality cause estimation unit 6.

[0032] The abnormality cause database 7 stores in advance the relationship between the causes of abnormalities of the centrifugal compressor 201 and the measurement values ​​and performance at which the abnormality appears. On the other hand, the abnormality cause estimation unit 6 has a function of estimating the cause of the abnormality of the centrifugal compressor 201 based on the abnormality determination result received from the abnormality determination unit 4.

[0033] That is, the abnormality cause estimation unit 6 estimates the cause of the abnormality of the centrifugal compressor 201 from the input abnormality determination result of the abnormality determination unit 4, the abnormality causes of the centrifugal compressor 201 stored in advance in the abnormality cause database 7, and the relationship between the measured values ​​and performance at which the abnormality appears.

[0034] The processing performed by the anomaly cause estimation unit 6 may involve, for example, organizing the causal relationships in a directed acyclic graph structure and inferring the probability of occurrence of each anomaly cause based on the presence or absence of an anomaly, but is not limited to this.

[0035] An example of the abnormality cause database 7 according to this embodiment is shown in FIG.

[0036] By using not only the measured values ​​but also the presence or absence of an abnormality in the polytropic efficiency shown in FIG. 5 for cause estimation, the cause of the abnormality can be estimated taking into account the internal state of the centrifugal compressor 201, which cannot be directly measured by the sensor 207.

[0037] For example, if the axial vibration and polytropic efficiency shown in Fig. 5 are determined to be abnormal, it is suspected that dirt has adhered to a part of the flow path of the impeller 206. That is, Fig. 6 shows an enlarged view of the periphery of the impeller 206, and if the axial vibration and polytropic efficiency are determined to be abnormal, it can be assumed that flow path dirt 601 has adhered to the impeller 206, increasing the imbalance of the rotor 205 and causing abnormalities in the axial vibration.

[0038] Furthermore, if abnormalities are determined in the axial movement, the temperature of the thrust bearing 204, and the polytropic efficiency shown in Fig. 5, it is suspected that the pressure balance in the centrifugal compressor 201 has changed. That is, if abnormalities are determined in the axial movement, the temperature of the thrust bearing 204, and the polytropic efficiency, it can be assumed that the possible causes of the abnormality are an increase in internal leakage due to deterioration of the eye seal 602 or the interstage seal 603, which prevents gas from flowing from the high-pressure side to the low-pressure side through the gaps between the impeller 206 and the casing 202 and the rotor 205 in Fig. 6, or a balance drum seal (not shown).

[0039] Furthermore, the result output unit 8 receives the measurement values, the performance anomaly determination results, and the estimated anomaly causes from the anomaly cause estimation unit 6, and outputs and displays graphs and tables as the diagnostic results.

[0040] FIG. 7 shows an example of the diagnostic results output and displayed on the result output unit 8, in which shaft vibration and polytropic efficiency are output and displayed as abnormal parameters, and flow path fouling is output and displayed as the cause of the abnormality.

[0041] According to this embodiment, although candidate causes of an abnormality that could not be separated when the cause of an abnormality was estimated based only on the presence or absence of an abnormality in the measurement values ​​obtained from the sensor 207 (by using not only the measurement values ​​but also the presence or absence of an abnormality in the polytropic efficiency for cause estimation, the cause of an abnormality is estimated taking into account the internal state of the centrifugal compressor 201 that cannot be directly measured by the sensor 207), by estimating the cause of an abnormality based on the abnormality in the measurement values ​​and the deterioration of performance (decrease in polytropic efficiency) calculated from the measurement values, it becomes possible to narrow down the candidate causes of an abnormality taking into account the deterioration of the internal state of the centrifugal compressor 201, and the cause of an abnormality of the centrifugal compressor 201 can be estimated simply and with higher accuracy.

[0042] The present invention is not limited to the above-described embodiments and includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, some or all of the above-described configurations, functions, etc. may be realized by designing, for example, an integrated circuit. Furthermore, the above-described configurations, functions, etc. may be realized by software in which a processor interprets and executes a program that realizes each function. [Explanation of symbols]

[0043] 1...abnormality cause estimation device, 2...measurement value input section, 3...performance calculation section, 4...abnormality judgment section, 5...normal measurement value database, 6...abnormality cause estimation section, 7...abnormality cause database, 8...result output section, 201...centrifugal compressor, 202...casing, 203...journal bearing, 204...thrust bearing, 205...rotor, 206...impeller, 207...sensor, 208...DCS (distributed control system), 209...LAN, 210...monitoring system, 211...centrifugal compressor owner, 601...flow path dirt, 602...eye seal section, 603...interstage seal section.

Claims

1. An abnormality cause estimation device for fluid machinery that monitors the state of the fluid machinery and estimates the cause of the abnormality when an abnormality is detected, a performance calculation unit that calculates the performance of the fluid machinery from the measurement values ​​obtained by the measurement value input unit; an abnormality determination unit that determines whether or not there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance of the fluid machinery calculated by the performance calculation unit; an abnormality cause estimation unit that estimates a cause of an abnormality of the fluid machinery based on a determination result of whether or not there is an abnormality in the performance of the fluid machinery determined by the abnormality determination unit and on the cause of the abnormality of the fluid machinery that is estimated from the relationship between the measurement values ​​and the performance at which an abnormality appears and the cause of the abnormality of the fluid machinery that is stored in advance in an abnormality cause database; and a result output unit that outputs the result of the estimation of the cause of an abnormality of the fluid machinery estimated by the abnormality cause estimation unit, The abnormality determination unit acquires the normal measurement values ​​and performance of the fluid machinery that are stored in advance in a normal measurement value database, and determines whether there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance calculated by the performance calculation unit based on the normal measurement values ​​and performance acquired from the normal measurement value database.

2. 2. The device for estimating the cause of an abnormality in a fluid machine according to claim 1, An apparatus for estimating the cause of an abnormality in a fluid machinery, wherein efficiency is used as an index representing the performance of the fluid machinery.

3. 3. The device for estimating the cause of an abnormality in a fluid machine according to claim 2, 10. The apparatus for estimating the cause of an abnormality in a fluid machinery, wherein either a polytropic efficiency, a polytropic head or a shaft power is used as the efficiency of the fluid machinery.

4. 4. The device for estimating the cause of an abnormality in a fluid machine according to claim 3, The fluid machine is a centrifugal compressor including a cylindrical casing, a rotor disposed in the casing, and a journal bearing and a thrust bearing that rotatably support the rotor, the rotor being provided with a plurality of impellers, and fluid flowing through a flow path is compressed by rotation of the impellers, When an abnormality is determined in the axial vibration of the centrifugal compressor measured by the sensor input to the measurement value input unit and the polytropic efficiency, the polytropic head, or the axial power calculated by the performance calculation unit from the suction temperature, suction pressure, discharge temperature, discharge pressure, and gas composition of the centrifugal compressor, the device estimates that dirt has adhered to a part of the flow path of the impeller, causing an abnormality in the axial vibration.

5. 4. The device for estimating the cause of an abnormality in a fluid machine according to claim 3, The fluid machine is a centrifugal compressor including a cylindrical casing, a rotor disposed in the casing, and a journal bearing and a thrust bearing that rotatably support the rotor, the rotor being provided with a plurality of impellers, and fluid flowing through a flow path is compressed by rotation of the impellers, When an abnormality is detected in the axial movement of the centrifugal compressor, the temperature of the thrust bearing, the polytropic efficiency, the polytropic head, or the axial power, an increase in internal leakage due to deterioration of an eye seal, an interstage seal, or a balance drum seal that prevents gas from flowing from the high-pressure side to the low-pressure side through gaps between the impeller and the casing and the rotor is estimated as a possible cause of the abnormality.

6. A method for estimating the cause of an abnormality in a fluid machine, which monitors the state of the fluid machine and, if an abnormality is detected, estimates the cause of the abnormality, a measurement value input unit inputting measurement values ​​obtained from sensors installed in the fluid machinery, a performance calculation unit calculating the performance of the fluid machinery from the measurement values ​​obtained by the measurement value input unit, an abnormality determination unit determining whether or not there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance of the fluid machinery calculated by the performance calculation unit, an abnormality cause estimation unit estimating a cause of the abnormality of the fluid machinery based on the determination result of whether or not there is an abnormality in the performance of the fluid machinery determined by the abnormality determination unit and the cause of the abnormality of the fluid machinery estimated from the relationship between the measurement values ​​and performance at which an abnormality appears and the cause of the abnormality of the fluid machinery stored in advance in an abnormality cause database, and then outputting the result of the estimation of the cause of the abnormality of the fluid machinery estimated by the abnormality cause estimation unit to a result output unit, The abnormality determination unit acquires the normal measurement values ​​and performance of the fluid machinery that are stored in advance in a normal measurement value database, and determines whether there is an abnormality in the measurement values ​​obtained by the measurement value input unit and the performance calculated by the performance calculation unit, using the normal measurement values ​​and performance acquired from the normal measurement value database as a reference.

7. 7. A method for estimating a cause of an abnormality in a fluid machine according to claim 6, comprising: A method for estimating the cause of an abnormality in a fluid machinery, wherein efficiency is used as an index representing the performance of the fluid machinery.

8. 8. A method for estimating a cause of an abnormality in a fluid machine according to claim 7, A method for estimating the cause of an abnormality in a fluid machinery, characterized in that either a polytropic efficiency, a polytropic head or a shaft power is used as the efficiency of the fluid machinery.

9. A system for estimating the cause of an abnormality of a fluid machine, in which measurement values ​​of the fluid machine measured by a sensor installed at a predetermined location of the fluid machine are transmitted to an abnormality cause estimation device via a network, and a cause of the abnormality of the fluid machine estimated by the abnormality cause estimation device based on the transmitted measurement values ​​is transmitted to an owner of the fluid machine, 6. A system for estimating the cause of an abnormality in a fluid machine, wherein the abnormality cause estimating device is the device for estimating the cause of an abnormality in a fluid machine according to claim 1.

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