CEJIA Introduces New Arc Fault Detection Method for Energy Storage Power Supply
CEJIA, a leading provider of professional energy storage power supply solutions, has announced the development of a new arc fault detection method based on multidictionary learning. The method uses the dictionary learning of sparse representation algorithm to detect arc faults in power supply systems.
Arc faults can cause safety hazards, equipment damage, and productivity losses in energy storage systems. With the introduction of this new method, CEJIA aims to provide a more efficient and accurate way to detect arc faults, ensuring the safety and reliability of power supply operations.
The new method uses six kinds of characteristics, the normalized amplitudes of 0Hz, 50Hz, 100Hz, 150Hz, 200Hz, and 250Hz in the current amplitude spectrum, as inputs. The output is either normal work or arc fault. By increasing the number of training samples, the accuracy of the tests can be improved. However, if the training samples are too many, it becomes difficult to be expressed by single dictionary. This is where the multidictionary learning method comes into play.
In multidictionary learning, n training samples are selected to form s overcomplete dictionaries. A dictionary library consisting of s dictionaries is then constructed. Next, t (t≤s) dictionaries are randomly selected from the dictionary library to judge the test results. Finally, the final detest result is obtained through the maximum number of votes, that is, the modality with the most votes is the detest result. This method has been proven to improve the accuracy of detection.
CEJIA has over 20 years of experience in the energy storage power supply industry and has built a reputation for providing quality products and services at competitive prices. The company's international electric market operation concept is based on the principle of providing professional and reliable energy storage power supply solutions for the market. With this new arc fault detection method, CEJIA is further strengthening its commitment to safety and efficiency in power supply operations.
"We are excited to introduce this new arc fault detection method to our customers," said a spokesperson for CEJIA. "It is a major breakthrough in the field of energy storage power supply safety and technology. We have worked hard to develop a solution that provides our customers with the highest level of safety and accuracy."
The introduction of this new arc fault detection method is expected to enhance the safety and reliability of energy storage systems. By providing a more efficient and accurate way to detect arc faults, power supply operations can be carried out with greater confidence and efficiency.
CEJIA is committed to providing innovative solutions for the energy storage power supply market. With its multidictionary learning-based arc fault detection method, the company is redefining industry standards and setting new benchmarks for safety and reliability.