The PLC is provided that outputs assistance information for assisting elimination of a target abnormality by using abnormality history data having written thereto an abnormality log element containing type information, occurrence time, and elimination time of an abnormality and operation history data having written thereto an operation log element containing content information and execution time of an operation. The output unit extracts, from the abnormality history data, an abnormality log element containing the type information showing a type identical to a type of the target abnormality. The output unit extracts, from the operation history data, an operation log element containing the execution time falling within a period from the occurrence time to the elimination time contained in the abnormality log element thus extracted, and generates the assistance information based on the extracted operation log element.

A computer-implemented method for determining damage to an aircraft, the computer-implemented method comprising: (i) receiving first data from a first sensor, the first data comprising values for a first parameter of an aircraft; (ii) determining whether damage has occurred to the aircraft using the values of the first data; (iii) receiving second data from a second sensor, the second data comprising values for a second parameter of the aircraft; (iv) determining whether damage has occurred to the aircraft using the values of the second data; and (v) controlling output of a signal comprising data indicating the occurrence of damage to the aircraft using an occurrence of damage determined at step (ii) and/or an occurrence of damage determined at step (iv).

A monitoring system for an aircraft engine includes a plurality of wireless engine sensors that sense engine parameters based on an engine sampling algorithm. The wireless engine sensors receive a new engine sampling algorithm to change the engine parameter sensing and generate engine data based on the new engine sampling algorithm. An engine monitoring module is mounted at the aircraft engine and collects and stores in a memory the engine data and transmits the engine data over a wireless communications signal into the aircraft and receives a new engine sampling algorithm and transmits it to the wireless engine sensors. A wireless LAN is within the aircraft and receives the new engine sampling algorithm from a ground based control center and transmits the new engine sampling algorithm to the engine monitoring module.

Some demonstrative embodiments include apparatuses, devices and/or methods of detecting leakage in a chamber. For example, an apparatus may include a leakage detector to detect leakage in a chamber based on at least one set of power values corresponding to at least one respective heating zone of the chamber, the set of power values including a plurality of power values corresponding to a respective plurality of manufacturing processes performed by the chamber, wherein a power value of a manufacturing process is based on a plurality of power control values to control the heating zone during the manufacturing process.

A method includes receiving a first time-dependent data characterizing measurement by a first sensor operatively coupled to an oil and gas industrial machine; determining a first anomaly score associated with a first portion of the first time-dependent data over a time period, the determination is based on a first value of an operating characteristic over the time period and a second value of the operating characteristic over the time period, wherein the first value of the operating characteristic is calculated from the first time-dependent data and the second value of the operating characteristic is detected at the oil and gas industrial machine; and rendering, in a graphical user interface display space, a visual representation indicative of the first anomaly score. Related apparatus, systems, articles, and techniques are also described.

A device for monitoring a digital control unit with regard to functional safety is proposed. The device comprises an interface configured to receive a control signal of the digital control unit for a circuit component. The control signal represents a digital value. Furthermore, the device comprises a timer circuit configured to output an associated timer value in each case for successive points in time. The device furthermore comprises a hash value generator, which is configurable, in response to a change in the digital value, to recalculate a hash value on the basis of the change in the digital value and the timer value at the point in time of the change in the digital value.

The present invention relates to a method for maintaining a predictive value of a device through a control output signal, and there is an effect that operating information of a device in a normal state and operating information of a device shown before a malfunction occurs are collected, a distrust value is set based on the collected information, a collection value depending on operating information of the device collected in real time is compared with the distrust value, and a warning is given when a condition that an abnormal symptom of the device is doubted is satisfied to guide repairing and replacement of the device to be performed at an appropriate time, thereby preventing enormous loss of money due to the malfunction of the device in advance.

A method for monitoring an industrial machine, the method may include selecting a selected reference component for each component out of one or more components of the industrial system; the selecting provides one more selected reference components; wherein each selected reference component is selected out of multiple reference components; wherein for each component the selecting is based on similarities between the component and reference components of the multiple reference components; determining one or more learnt mappings between (i) sensed information related to the one or more components and (ii) predicted failures of the one or more components ; wherein the learning is based, at least in part, on one or more reference mappings between (i) sensed information related to the one or more selected reference components and (ii) predicted failures of the one or more selected reference components; monitoring the one or more components to receive monitoring results; and evaluating the operation of the one or more components based on the monitoring results and the one or more reference mapping.

There are provided a slave, a work machine, and a method for storing log information, which are capable of appropriately store the log information when a communication abnormality occurs such that communication cannot be kept between a master and the slave in an industrial network. The control section performs first storage processing storing the log information into a volatile storage section when a communication abnormality occurs such that communication with the master cannot be kept, communication abnormality determination processing for determining whether the communication abnormality has occurred, and second storage processing storing the log information into a non-volatile storage section by acquiring the log information from the volatile storage section, in response to a determination made in that the communication abnormality has occurred as a result of the communication abnormality determination processing.

A device and a method for planning of maintenance work on a machine. Based on sensor data S, input data E are generated. The input data E are compared with model sensor data of different model data pattern and are checked regarding conformity. Each model data pattern is assigned a maintenance model in the model database. If a conformity of input data E with model sensor data M of a model data pattern has been determined, the assigned maintenance model can be selected for a maintenance of the machine. The maintenance model comprises at least one maintenance step and the resource required for it to be carried out. Subsequently, the availability of the required resource is checked and the resource is requested, if available. By such a device or method, a predicted maintenance can be performed based on empirical knowledge contained in the maintenance models of model database.