Abstract: A quick dispatching rule screening method and apparatus are provided. The quick dispatching rule screening method includes following steps. A scheduling result and a corresponding scenario are obtained. A dispatching rule mining table is established according to the scheduling result, where the dispatching rule mining table includes a dispatching rule and an operation. A participation rate of each dispatching rule in the dispatching rule mining table is calculated. A contribution rate is calculated according to the participation rate to obtain a filter value. A selected dispatching rule is decided according to the filter value.

Abstract: A learning-based resource allocation method, a learning-based resource allocation system and a user interface are provided. The learning-based resource allocation method includes following steps. Several setting contents of several resources applicable to several batch number products are obtained from an available resource database. Several resource allocation solutions are obtained. Each of the resource allocation solutions is a combination of the batch number products and the setting contents and is classified in an excellent group or an inferior group. The setting contents corresponding to a first part of the resource allocation solutions belonging to the inferior group are changed using a first algorithm, and the setting contents corresponding to a second part of the resource allocation solutions belonging to the inferior group are changed using a second algorithm different from the first algorithm.

Abstract: A quick dispatching rule screening method and apparatus are provided. The quick dispatching rule screening method includes following steps. A scheduling result and a corresponding scenario are obtained. A dispatching rule mining table is established according to the scheduling result, where the dispatching rule mining table includes a dispatching rule and an operation. A participation rate of each dispatching rule in the dispatching rule mining table is calculated. A contribution rate is calculated according to the participation rate to obtain a filter value. A selected dispatching rule is decided according to the filter value.

Abstract: A heater condition monitoring and accessing method includes steps as follows: A plurality of history operating data of a heater under test are acquired, wherein each of the history operating data has a temperature, an operating sequence, and a resistance. A plurality subsets of the history operating data corresponding to a predetermined temperature range are picked up from the history operating data to form a resistance-operating sequence characteristic curve. At least one test is performed according to the resistance-operating sequence characteristic curve to determine whether a fault of the heater under test occurs at the current operating run or at the subsequent operating run and to evaluate the remaining useful life of the heater under test.

Abstract: A tree search-based scheduling method and an electronic apparatus are provided. In the method, multiple order lists are received and a schedule is initialized, wherein each order list includes multiple production operations. In each order list, a first production operation which has not been joined into the schedule yet is selected, such that multiple prior operations are selected. An execution priority of the prior operations is calculated according to multiple dispatching rules, and multiple candidate operations are selected from the prior operations according to the execution priority. Afterwards, the candidate operations are listed as a next operation of the schedule respectively, and a scheduling simulation is performed according to the dispatching rules to obtain multiple scheduling indicators of the candidate operations. Scheduling is performed according to the scheduling indicators.

Abstract: A tree search-based scheduling method and an electronic apparatus are provided. In the method, multiple order lists are received and a schedule is initialized, wherein each order list includes multiple production operations. In each order list, a first production operation which has not been joined into the schedule yet is selected, such that multiple prior operations are selected. An execution priority of the prior operations is calculated according to multiple dispatching rules, and multiple candidate operations are selected from the prior operations according to the execution priority. Afterwards, the candidate operations are listed as a next operation of the schedule respectively, and a scheduling simulation is performed according to the dispatching rules to obtain multiple scheduling indicators of the candidate operations. Scheduling is performed according to the scheduling indicators.

Abstract: An abnormality measuring method and an abnormality measuring apparatus of equipment are provided. The abnormality measuring method includes the following steps: acquiring a feature sequence corresponding to a life cycle according to recipe information and sensing information, wherein the feature sequence includes a plurality of feature subset sequences, and the life cycle is relative to a plurality of process runs; performing repeatedly a life segment analyzing process to acquire a plurality of life segments of the life cycle and each of the plurality of the feature subset sequences corresponding to one of the plurality of life segments; building a corresponding trending distribution of each of the plurality of life segments according to a corresponding feature subset sequence of the life segment; and determining whether to send an alarm message according to a plurality of trending distributions.

Abstract: A breakdown measuring method and a breakdown measuring device are disclosed. The breakdown measuring method includes the following steps: capturing a plurality of process flows, each of the process flows includes at least one recipe step; analyzing a flow attribute corresponding to each of the process flows; capturing sensing data corresponding to the at least one recipe step; generating a local feature in a time interval corresponding to each of the process flows according to the corresponding flow attribute, the corresponding at least one recipe step and the corresponding sensing data; generating a trend distribution according to the local features of the process flows; determining whether to send an alarm information based on the trend distribution.

Abstract: A heater condition monitoring and accessing method includes steps as follows: A plurality of history operating data of a heater under test are acquired, wherein each of the history operating data has a temperature, an operating sequence, and a resistance. A plurality subsets of the history operating data corresponding to a predetermined temperature range are picked up from the history operating data to form a resistance-operating sequence characteristic curve. At least one test is performed according to the resistance-operating sequence characteristic curve to determine whether a fault of the heater under test occurs at the current operating run or at the subsequent operating run and to evaluate the remaining useful life of the heater under test.

Abstract: An abnormality measuring method and an abnormality measuring apparatus of equipment are provided. The abnormality measuring method includes the following steps: acquiring a feature sequence corresponding to a life cycle according to recipe information and sensing information, wherein the feature sequence includes a plurality of feature subset sequences, and the life cycle is relative to a plurality of process runs; performing repeatedly a life segment analyzing process to acquire a plurality of life segments of the life cycle and each of the plurality of the feature subset sequences corresponding to one of the plurality of life segments; building a corresponding trending distribution of each of the plurality of life segments according to a corresponding feature subset sequence of the life segment; and determining whether to send an alarm message according to a plurality of trending distributions.

Abstract: A breakdown measuring method and a breakdown measuring device are disclosed. The breakdown measuring method includes the following steps: capturing a plurality of process flows, each of the process flows includes at least one recipe step; analyzing a flow attribute corresponding to each of the process flows; capturing sensing data corresponding to the at least one recipe step; generating a local feature in a time interval corresponding to each of the process flows according to the corresponding flow attribute, the corresponding at least one recipe step and the corresponding sensing data; generating a trend distribution according to the local features of the process flows; determining whether to send an alarm information based on the trend distribution.

Abstract: An embodiment of the invention provides an AC motor that is driven by an AC voltage. The AC motor includes a motor coil, a switch circuit, a position detector and a controller. The motor coil receives the AC voltage to drive an axis of the motor. The switch circuit is coupled to the motor coil and controls a current passing through the motor coil. The position detector detects the position of a motor rotor to output a polarity signal. The controller controls the switch circuit according to the polarity signal and the AC voltage to make the current to be a first current with a first direction or a second current with a second direction.

Abstract: An embodiment of the invention provides an AC motor that is driven by an AC voltage. The AC motor includes a motor coil, a switch circuit, a position detector and a controller. The motor coil receives the AC voltage to drive an axis of the motor. The switch circuit is coupled to the motor coil and controls a current passing through the motor coil. The position detector detects the position of a motor rotor to output a polarity signal. The controller controls the switch circuit according to the polarity signal and the AC voltage to make the current to be a first current with a first direction or a second current with a second direction.

Abstract: A method for optimizing phasor measurement unit placement includes two phase, calculating a degree of each node of a power system; selecting a node with maximum degree as a center and propagate to the entire power system so as to form a spanning tree; selecting a feasible power dominating set (PDS) of minimum cardinality for the spanning tree in the Phase I. In phase II, use the Artificial Bees Colony Algorithm.

Abstract: An embodiment of the invention provides an AC motor that is driven by an AC voltage. The AC motor includes a motor coil, a switch circuit, a position detector and a controller. The motor coil receives the AC voltage to drive an axis of the motor. The switch circuit is coupled to the motor coil and controls a current passing through the motor coil. The position detector detects the position of a motor rotor to output a polarity signal. The controller controls the switch circuit according to the polarity signal and the AC voltage to make the current to be a first current with a first direction or a second current with a second direction.

Abstract: The present invention discloses a relative variable selection system and a selection method thereof. In the present invention, the receiving module receives a plurality of variables. Based on a correlation coefficient of variables, a first selection module sequentially selects variables with a correlation coefficient greater than a first threshold value. Based on the variables selected by the first selection module, a first calculating module selects a regression value and a weighted value corresponding to the foregoing variables. Based on the weighted values, a second selection module sequentially selects variables with a weighted value smaller than a second threshold value. Based on the variables selected by the second selection module, a second calculating module calculates analyzed values of the foregoing variables. Based on the analyzed values of the variables, a third selection module selects analyzed values which are greater than the target value.

Abstract: A brushless direct current (DC) motor includes a rotor, a stator and a driving unit. The rotor includes a plurality of magnetic poles. The stator includes a plurality of upper pole arms and a plurality of lower pole arms. The driving unit includes at least two coils wound on the upper pole arms and the lower pole arms respectively, and the driving unit generates an alternating magnetic field on the stator for driving the rotor.

Abstract: A driving device of a brushless DC motor for a fan includes a protection circuit, a storage circuit, a control circuit and a bridge circuit. The protection circuit is electrically connected with an auxiliary power. The storage circuit electrically connected with the protection circuit receives the auxiliary power. The control circuit is electrically connected with the protection circuit and the storage circuit. The bridge circuit electrically connected with the control circuit has a first switching unit, a second switching unit, a third switching unit and a fourth switching unit. The first and second switching units are coupled with one end of a motor coil. The third switching unit and the fourth switching unit are coupled with the other end of the motor coil. The first switching unit is electrically connected with the third switching unit, and the second switching unit is electrically connected with the fourth switching unit.

Abstract: An embodiment of the invention provides an AC motor that is driven by an AC voltage. The AC motor includes a motor coil, a switch circuit, a position detector and a controller. The motor coil receives the AC voltage to drive an axis of the motor. The switch circuit is coupled to the motor coil and controls a current passing through the motor coil. The position detector detects the position of a motor rotor to output a polarity signal. The controller controls the switch circuit according to the polarity signal and the AC voltage to make the current to be a first current with a first direction or a second current with a second direction.

Abstract: The present invention discloses a relative variable selection system and a selection method thereof. In the present invention, the receiving module receives a plurality of variables. Based on a correlation coefficient of variables, a first selection module sequentially selects variables with a correlation coefficient greater than a first threshold value. Based on the variables selected by the first selection module, a first calculating module selects a regression value and a weighted value corresponding to the foregoing variables. Based on the weighted values, a second selection module sequentially selects variables with a weighted value smaller than a second threshold value. Based on the variables selected by the second selection module, a second calculating module calculates analyzed values of the foregoing variables. Based on the analyzed values of the variables, a third selection module selects analyzed values which are greater than the target value.