A Novel Improved Maximum Entropy Regularization Technique and Application to Identification of Dynamic Loads on the Coal Rock

Abstract

A new signal processing algorithm was proposed to identify the dynamic load acting on the coal-rock structure. First, the identification model for dynamic load is established through the relationship between the uncertain load vector, and the assembly matrix of the responses was measured by the machinery dynamic system. Then, the entropy item of maximum entropy regularization (MER) is redesigned using the robust estimation method, and the elongated penalty function according to the ill-posedness characteristics of load identification, which was named as a novel improved maximum entropy regularization (IMER) technique, was proposed to process the dynamic load signals. Finally, the load identification problem is transformed into an unconstrained optimization problem and an improved Newton iteration algorithm was proposed to solve the objective function. The result of IMER technique is compared with MER technique, and it is found that IMER technique is available for analyzing the dynamic load signals due to higher signal-noise ratio, lower restoration time, and fewer iterative steps. Experiments were performed to investigate the effect on the performance of dynamic load signals identification by different regularization parameters and calculation parameters, pi, respectively. Experimental results show that the identified dynamic load signals are closed to the actual load signals using IMER technique combined with the proposed PSO-L regularization parameter selection method. Selecting optimal calculated parameters pi is helpful to overcome the ill-condition of dynamic load signals identification and to obtain the stable and approximate solutions of inverse problems in practical engineering. Meanwhile, the proposed IMER technique can also play a guiding role for the coal-rock interface identification.

A Novel Combined Regularization for Identifying Random Load Sources on Coal‐Rock Structure

“…In this study, the size of the manually made coal and rock structure sample are described as 2000 mm, 100 mm, and 1750 mm, respectively. Te corresponding experimental system is given, multipick rotary cutting test bench is as shown in Figure 4 [42].…”

“…Te feed motion of the cutting test bed is realized by the hydraulic cylinder. Te pick load test system is composed of force measuring device, force sensor, signal amplifer, data acquisition, and signal processing system [42]. Te parameters are as follows: the rated power of the variable frequency motor is set to 55 kW, the speed range of the drum can be 0-48 r/min, the force sensor is set to 0-5000 N, the torque measurement range is set to 0-22000 N•m, and the traction speed is set to 0.5-2 m/min [42].…”

“…Te pick load test system is composed of force measuring device, force sensor, signal amplifer, data acquisition, and signal processing system [42]. Te parameters are as follows: the rated power of the variable frequency motor is set to 55 kW, the speed range of the drum can be 0-48 r/min, the force sensor is set to 0-5000 N, the torque measurement range is set to 0-22000 N•m, and the traction speed is set to 0.5-2 m/min [42]. Te deformation of the pressure sensor will be converted into electrical signals, and the signals will be transmitted to the data acquisition and signal processing system through multiple slip rings.…”