A system and method predict whether or not a plant is abnormal and perform an accurate prediction even if a modeling is executed in a state where the understanding for a target to abnormality determination is low, or when a person unfamiliar with system designs a prediction model. The system includes a correlation coefficient calculation unit for calculating a correlation coefficient for each of two tags among a plurality of tags; a relevant tag determination unit for determining a relevant tag for each tag of the plurality of tags by comparing the correlation coefficient with a reference value; and an independent tag determination unit for determining one or more among the plurality of tags as an independent tag based on the relevant tag. The relevant tag determination unit includes primary and second tag extraction sections for extracting primary and second tags for each tag of the plurality of tags.

One embodiment can provide a system for detecting faults in a machine. During operation, the system can obtain a dynamic signal associated with the machine, apply one or more signal-processing techniques to the dynamic signal to obtain frequency, amplitude, and/or time-frequency information associated with the dynamic signal, extract motion-insensitive features from the obtained frequency, amplitude, and/or time-frequency information associated with the dynamic signal, and determine whether a fault occurs in the machine based on the extracted features.

A bumpless transfer fault tolerant control method for aero-engine under actuator fault is disclosed. For an aero-engine actuator fault, by adopting an undesired oscillation problem produced by an active fault tolerant control method based on a virtual actuator, in order to solve the shortage of the existing control method, a bumpless transfer active fault tolerant control design method for the aero-engine actuator fault is provided, which can guarantee that a control system of the reconfigured aero-engine not only has the same state and output as an original fault-free system without changing the structure and parameters of a controller, to achieve a desired control objective, and that a reconfigured system has a smooth transient state, that is, output parameters such as rotational speed, temperature and pressure do not produce the undesired transient characteristics such as overshoot or oscillation.

A system with a self-test function has at least one system component which has at least one technical function, a fault simulation unit integrated in the system, a self-test unit integrated in the system, and a verification control unit integrated in the system, wherein the at least one system component is coupled to the fault simulation unit, wherein the fault simulation unit is designed to influence the operation of the system component to the effect that the at least one technical function is selectively impaired, wherein the self-test unit is designed to monitor operating parameters of the system component and to respectively generate a warning signal which indicates impairment of the respective at least one technical function, and wherein the verification control unit is designed to compare the warning signals generated by the self-test unit with expected warning signals on the basis of the impaired technical functions.

In a method, a database system, a computer, and a medical system for the identification of faulty structural parts to be exchanged of a medical device, an identification algorithm is executed to calculate and emit an exchange data record that identifies a structural part to be exchanged, dependent on for a read-in error message from the medical device. The identification algorithm accesses a database system with a simulation model in which automatically generated error patterns (are stored in order to perform an analysis on these stored error patterns, so as to calculate the exchange data record. An error pattern is an association between the error message, an exchange data record, and an evaluation data record.

A petrochemical plant or refinery may include equipment such as pumps, compressors, valves, exchangers, columns, adsorbers, or the like. Some petrochemical plants or refineries may include one or more sensors configured to collect operation information of the equipment in the plant or refinery. A faulty condition of a process of the petrochemical plant may be diagnosed based on the operation of the plant equipment. A diagnostic system, which may receive operation information from the one or more sensors, may include a detection platform, an analysis platform, a visualization platform, and/or an alert platform.

A Fault Detection Diagnostic (FDD) correction method for increasing the cooling capacity delivered by an Air-Conditioning (AC) system with an economizer comprising: correcting/superseding at least one cooling fault/delay, the correcting/superseding selected from the group consisting of: correcting/superseding a High-limit-Shut-off-Temperature (HST) fault/delay based on detecting an Outdoor Air Temperature (OAT) is less than or equal to a High-limit-Control Temperature (HCT) during a thermostat call for cooling to enable economizer cooling otherwise delayed by the at least one HST fault/delay, superseding a thermostat second-stage time/temperature-deadband delay based on detecting an OAT is greater than or equal to an AC Control Temperature (ACT) during a call for cooling and energizing an AC compressor otherwise delayed by a thermostat second-stage time/temperature-deadband delay, superseding at least one economizer second-stage time/temperature delay based on detecting a thermostat second-stage cooling signal and energizing an AC compressor otherwise delayed by the at least one economizer second-stage time/temperature delay.

A manufacturing equipment diagnosis support system includes: a data collector which collects and records respective data in plural apparatuses to be monitored provided in manufacturing equipment; a data analysis device; and a display. The data analysis device includes: a data analysis range setting unit which sets an analysis range of data, by an item of data and time period; a data grouping unit which classifies the data into a category based on specification and use condition of the apparatus to be monitored, and a category based on a physical quantity which the data shows, to group the data; a feature extracting unit which extracts a feature in each of the data items; an unusual phenomenon specifying unit which specifies an unusual phenomenon candidate item; and a testing unit which tests whether there is a significant difference or not between the unusual phenomenon candidate item and an other data item.

The invention involves the automated testing of HVAC units using an energy management system. The automated HVAC test is performed to understand if one or more HVAC units are operational across one or more locations. If an HVAC unit is not operational, HVAC testing could be performed to understand which component or stage of the HVAC unit is not working as designed. The automated HVAC test is also used to calculate the efficiency of the HVAC unit(s) being tested. The various HVAC tests are performed on all HVAC units as a form of preventative maintenance and diagnostics. These tests can be scheduled on-demand, for a future date and time, or on a recurring schedule (monthly or quarterly). A report is generated for each HVAC test and can be viewed and exported from a cloud-based energy management platform.

A system and a method are provided including a system controller for a refrigeration or HVAC system having a compressor rack with a compressor and a condensing unit with a condenser fan. The system controller monitors and controls operation of the refrigeration or HVAC system. A rack controller monitors and controls operation of the compressor rack. The system controller determines a flood-back discharge temperature corresponding to a flood-back condition, receives an actual discharge temperature associated with the compressor rack, compares the actual discharge temperature with the flood-back discharge temperature, and generates a notification to the rack controller based on the comparison.