Disclosed herein is a method for predicting a faulty behaviour of an electrical converter. The method includes receiving an operation point indicator of the electrical converter indicative of an actual operation point of the electrical converter, where the electrical converter is connected to a rotating electrical machine; receiving a measured device temperature of a power semiconductor device of the electrical converter indicative of an actual temperature of the power semiconductor device; inputting the operation point indicator as input data into a machine learning algorithm trained with historical data comprising operation point indicators and associated device temperatures, where the historical data was recorded during normal operation of a power semiconductor device; estimating an estimated device temperature with the machine learning algorithm, where the estimated device temperature represents a device temperature during a normal operation; and predicting the faulty behaviour by comparing the estimated device temperature with the measured device temperature.

Described herein is an operation-control device adapted for controlling operation of a disperser and including an input unit for receiving, from sensing devices, state-values (V.sub.1, V.sub.2, V.sub.3) of at least two different physical entities and/or operational states of the disperser, such as temperature, pressure, etc. A functional-correlation storage unit is configured to store a functional correlation model including correlations of state-values of subsets of physical entities and/or operational states of the mill and indicative of a predetermined plausibility condition associated to a respective correlation. A plausibility-checking unit is configured to determine a flag to the plausibility condition and to provide a corresponding status signal.

A management system controls environmental conditions to facilitate operating state changes of individual information technology (IT) equipment within a data center. A management controller accesses a specification data structure containing environmental conditions specified to enable each one of the IT components to function in operational operating state(s). The management controller determines a temperature range specified in the specification data structure for a first IT component that is scheduled to transition into a first operational state. The management controller adjusts a temperature set point of supply air provided by the data center to the first IT component to be within the temperature range. In response to determining that the interior air temperature is within the temperature range, the management controller triggers activation of the first IT component into the first operating state.

An electronic device having a temperature management function includes a platform controller hub (PCH), a complex programmable logic device (CPLD) and a hardware monitor. The PCH includes a first temperature sensor for sensing the first temperature of the PCH. The CPLD includes a memory and is coupled to the PCH. The CPLD reads the first temperature sensed by the first temperature sensor and saves it in the memory. The CPLD searches for an offset value in the memory and generates a device temperature according to the offset value and the first temperature. The hardware monitor is coupled to the CPLD and reads the device temperature.

A temperature abnormality detection system of the present invention includes a first temperature sensor that measures a first temperature indicated by a target device and a second temperature sensor that measures a second temperature indicated by ambient air around the target device. A temperature difference between the first temperature and the second temperature is calculated, and when this temperature difference becomes a predetermined threshold value or more, it is determined that a temperature abnormality of the target device has occurred.

A management system controls environmental conditions to facilitate operating state changes of individual information technology (IT) equipment within a data center. A management controller accesses a specification data structure containing environmental conditions specified to enable each one of the IT components to function in operational operating state(s). The management controller determines a temperature range specified in the specification data structure for a first IT component that is scheduled to transition into a first operational state. The management controller adjusts a temperature set point of supply air provided by the data center to the first IT component to be within the temperature range. In response to determining that the interior air temperature is within the temperature range, the management controller triggers activation of the first IT component into the first operating state.

A system analyzes crops provided by a truck on a transport device. The truck enters the transport device to transport and unload the crops. The system includes sensors to detect an identifier of the truck, detect a temperature of the crops, and determine components of the crops. A programmable-logic controller sends paired information between the detected identifier of the truck and the detected location of the crops to a non-transitory storage medium for storage. The processor also sends the detected temperature of the crops and the determined components of the crops to the non-transitory storage medium for storage.

This disclosure relates to remote monitoring systems and methods, such as for monitoring the condition of bulk solids, such as agricultural grain, pelletized materials and/or equipment. The systems and methods described herein integrate analog and digital monitoring technologies and enable such technologies to be managed and controlled by one or more users.

An electronic device having a temperature management function includes a platform controller hub (PCH), a complex programmable logic device (CPLD) and a hardware monitor. The PCH includes a first temperature sensor for sensing the first temperature of the PCH. The CPLD includes a memory and is coupled to the PCH. The CPLD reads the first temperature sensed by the first temperature sensor and saves it in the memory. The CPLD searches for an offset value in the memory and generates a device temperature according to the offset value and the first temperature. The hardware monitor is coupled to the CPLD and reads the device temperature.

A system analyzes crops provided by a truck on a transport device. The truck enters the transport device to transport and unload the crops. The system includes sensors to detect an identifier of the truck, detect a temperature of the crops, and determine components of the crops. A programmable-logic controller sends paired information between the detected identifier of the truck and the detected location of the crops to a non-transitory storage medium for storage. The processor also sends the detected temperature of the crops and the determined components of the crops to the non-transitory storage medium for storage.